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Anton van den Hengel

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affiliation: University of Adelaide, Australia

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2026
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Bahram Mohammadi, Ehsan Abbasnejad, Yuankai Qi, Qi Wu, Anton van den Hengel, Javen Qinfeng Shi:
Parameter-efficient action planning with large language models for vision-and-language navigation. Pattern Recognit. 172: 112462 (2026)
2025
[j89]
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Jitendra Singh Malik, Hezhe Qiao, Guansong Pang, Anton van den Hengel:
Deep learning for hate speech detection: a comparative study. Int. J. Data Sci. Anal. 20(4): 3053-3068 (2025)
[j88]
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Huajie Jiang, Zhengxian Li, Yongli Hu, Baocai Yin, Jian Yang, Anton van den Hengel, Ming-Hsuan Yang, Yuankai Qi:
Dual Prototype Contrastive Network for Generalized Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 35(2): 1111-1122 (2025)
[j87]
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Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation. Trans. Mach. Learn. Res. 2025 (2025)
[j86]
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Yangyang Shu, Yuhang Liu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu:
Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale. Trans. Mach. Learn. Res. 2025 (2025)
2024
[j85]
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Wei Yin, Yifan Liu, Chunhua Shen, Baichuan Sun, Anton van den Hengel:
Scaling Up Multi-domain Semantic Segmentation with Sentence Embeddings. Int. J. Comput. Vis. 132(9): 4036-4051 (2024)
[j84]
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Haiyao Cao, Jinan Zou, Yuhang Liu, Zhen Zhang, Ehsan Abbasnejad, Anton van den Hengel, Javen Qinfeng Shi:
InvariantStock: Learning Invariant Features for Mastering the Shifting Market. Trans. Mach. Learn. Res. 2024 (2024)
2023
[j83]
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Tong He, Chunhua Shen, Anton van den Hengel:
Dynamic Convolution for 3D Point Cloud Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5697-5711 (2023)
2022
[j82]
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Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel:
Deep Learning for Anomaly Detection: A Review. ACM Comput. Surv. 54(2): 38:1-38:38 (2022)
[j81]
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Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. Int. J. Comput. Vis. 130(1): 76-94 (2022)
[j80]
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Chenyu Gao, Qi Zhu, Peng Wang, Hui Li, Yuliang Liu, Anton van den Hengel, Qi Wu:
Structured Multimodal Attentions for TextVQA. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9603-9614 (2022)
[j79]
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Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Jinqiu Sun, Yu Zhu, Yanning Zhang:
High dynamic range imaging via gradient-aware context aggregation network. Pattern Recognit. 122: 108342 (2022)
[j78]
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Wei Sun, Dong Gong, Javen Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
Video super-resolution via mixed spatial-temporal convolution and selective fusion. Pattern Recognit. 126: 108577 (2022)
[j77]
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Zhibin Liao, Kewen Liao, Haifeng Shen, Marouska F. van Boxel, Jasper Prijs, Ruurd L. Jaarsma, Job N. Doornberg, Anton van den Hengel, Johan W. Verjans:
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. IEEE J. Biomed. Health Informatics 26(7): 3139-3150 (2022)
[j76]
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Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel:
Show, Price and Negotiate: A Negotiator With Online Value Look-Ahead. IEEE Trans. Multim. 24: 1426-1434 (2022)
2021
[j75]
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Wei Sun, Dong Gong, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation. IEEE Trans. Image Process. 30: 2947-2962 (2021)
[j74]
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Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng:
Deep Single Image Deraining via Modeling Haze-Like Effect. IEEE Trans. Multim. 23: 2481-2492 (2021)
2020
[j73]
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Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel:
Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network. Int. J. Comput. Vis. 128(2): 479-499 (2020)
[j72]
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M. Ehsan Abbasnejad, Javen Shi, Anton van den Hengel, Lingqiao Liu:
GADE: A Generative Adversarial Approach to Density Estimation and its Applications. Int. J. Comput. Vis. 128(10): 2731-2743 (2020)
[j71]
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Yong Guo, Jian Chen, Qing Du, Anton van den Hengel, Qinfeng Shi, Mingkui Tan:
Multi-way backpropagation for training compact deep neural networks. Neural Networks 126: 250-261 (2020)
[j70]
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Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, Yanning Zhang, Anton van den Hengel:
Towards Effective Deep Embedding for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2843-2852 (2020)
[j69]
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Qi Chen, Qi Wu, Jian Chen, Qingyao Wu, Anton van den Hengel, Mingkui Tan:
Scripted Video Generation With a Bottom-Up Generative Adversarial Network. IEEE Trans. Image Process. 29: 7454-7467 (2020)
[j68]
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Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Accurate Tensor Completion via Adaptive Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4170-4184 (2020)
[j67]
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Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang:
Learning Deep Gradient Descent Optimization for Image Deconvolution. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5468-5482 (2020)
2019
[j66]
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Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Accurate imagery recovery using a multi-observation patch model. Inf. Sci. 501: 724-741 (2019)
[j65]
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Zifeng Wu, Chunhua Shen, Anton van den Hengel:
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition. Pattern Recognit. 90: 119-133 (2019)
[j64]
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Lei Zhang, Peng Wang, Wei Wei, Hao Lu, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Unsupervised Domain Adaptation Using Robust Class-Wise Matching. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1339-1349 (2019)
[j63]
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Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution. IEEE Trans. Image Process. 28(4): 1851-1865 (2019)
2018
[j62]
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Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction. Int. J. Comput. Vis. 126(8): 797-821 (2018)
[j61]
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Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid:
Exploring Context with Deep Structured Models for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1352-1366 (2018)
[j60]
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Qi Wu, Chunhua Shen, Peng Wang, Anthony R. Dick, Anton van den Hengel:
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1367-1381 (2018)
[j59]
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Peng Wang, Qi Wu, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
FVQA: Fact-Based Visual Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2413-2427 (2018)
[j58]
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Qichang Hu, Peng Wang, Chunhua Shen, Anton van den Hengel, Fatih Porikli:
Pushing the Limits of Deep CNNs for Pedestrian Detection. IEEE Trans. Circuits Syst. Video Technol. 28(6): 1358-1368 (2018)
[j57]
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Hao Lu, Chunhua Shen, Zhiguo Cao, Yang Xiao, Anton van den Hengel:
An Embarrassingly Simple Approach to Visual Domain Adaptation. IEEE Trans. Image Process. 27(7): 3403-3417 (2018)
2017
[j56]
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Sakrapee Paisitkriangkrai, Lin Wu, Chunhua Shen, Anton van den Hengel:
Structured learning of metric ensembles with application to person re-identification. Comput. Vis. Image Underst. 156: 51-65 (2017)
[j55]
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Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Visual question answering: A survey of methods and datasets. Comput. Vis. Image Underst. 163: 21-40 (2017)
[j54]
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Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mining Mid-level Visual Patterns with Deep CNN Activations. Int. J. Comput. Vis. 121(3): 344-364 (2017)
[j53]
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David Ball, Ben Upcroft, Eldert J. van Henten, Anton van den Hengel, Pratap Tokekar, Jnaneshwar Das:
JFR Special Issue on Agricultural Robotics. J. Field Robotics 34(6): 1037-1038 (2017)
[j52]
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Peng Wang, Chunhua Shen, Anton van den Hengel, Philip H. S. Torr:
Large-Scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 470-485 (2017)
[j51]
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Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Cross-Convolutional-Layer Pooling for Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2305-2313 (2017)
[j50]
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Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen:
Compositional Model Based Fisher Vector Coding for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2335-2348 (2017)
[j49]
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Roberto Luis Shinmoto Torres, Qinfeng Shi, Anton van den Hengel, Damith Chinthana Ranasinghe:
A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people. Pervasive Mob. Comput. 40: 1-16 (2017)
[j48]
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Lin Wu, Chunhua Shen, Anton van den Hengel:
Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification. Pattern Recognit. 65: 238-250 (2017)
[j47]
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Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognit. 66: 202-212 (2017)
[j46]
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Damien Teney, Qi Wu, Anton van den Hengel:
Visual Question Answering: A Tutorial. IEEE Signal Process. Mag. 34(6): 63-75 (2017)
[j45]
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Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel:
Part-Based Robust Tracking Using Online Latent Structured Learning. IEEE Trans. Circuits Syst. Video Technol. 27(6): 1235-1248 (2017)
2016
[j44]
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Peng Wang, Chunhua Shen, Anton van den Hengel, Philip H. S. Torr:
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference. Int. J. Comput. Vis. 117(3): 269-289 (2016)
[j43]
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Fayao Liu, Chunhua Shen, Ian Reid, Anton van den Hengel:
Online unsupervised feature learning for visual tracking. Image Vis. Comput. 51: 84-94 (2016)
[j42]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1243-1257 (2016)
[j41]
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Roberto Luis Shinmoto Torres, Renuka Visvanathan, Stephen Hoskins, Anton van den Hengel, Damith Chinthana Ranasinghe:
Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People. Sensors 16(4): 546 (2016)
[j40]
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Sakrapee Paisitkriangkrai, Jamie Sherrah, Pranam Janney, Anton van den Hengel:
Semantic Labeling of Aerial and Satellite Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(7): 2868-2881 (2016)
[j39]
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Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Dictionary Learning for Promoting Structured Sparsity in Hyperspectral Compressive Sensing. IEEE Trans. Geosci. Remote. Sens. 54(12): 7223-7235 (2016)
[j38]
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Qichang Hu, Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel, Fatih Porikli:
Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework. IEEE Trans. Intell. Transp. Syst. 17(4): 1002-1014 (2016)
2015
[j37]
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Zygmunt L. Szpak, Wojciech Chojnacki, Anton van den Hengel:
Guaranteed Ellipse Fitting with a Confidence Region and an Uncertainty Measure for Centre, Axes, and Orientation. J. Math. Imaging Vis. 52(2): 173-199 (2015)
[j36]
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Wojciech Chojnacki, Zygmunt L. Szpak, Michael J. Brooks, Anton van den Hengel:
Enforcing consistency constraints in uncalibrated multiple homography estimation using latent variables. Mach. Vis. Appl. 26(2-3): 401-422 (2015)
[j35]
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Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang:
A Hybrid Loss for Multiclass and Structured Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 2-12 (2015)
[j34]
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Guosheng Lin, Chunhua Shen, Anton van den Hengel:
Supervised Hashing Using Graph Cuts and Boosted Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2317-2331 (2015)
[j33]
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Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen:
Hashing on Nonlinear Manifolds. IEEE Trans. Image Process. 24(6): 1839-1851 (2015)
[j32]
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Hui Li, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Worst Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems. IEEE Trans. Image Process. 24(8): 2382-2392 (2015)
2014
[j31]
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Fumin Shen, Chunhua Shen, Rhys Hill, Anton van den Hengel, Zhenmin Tang:
Fast approximate L_∞ minimization: Speeding up robust regression. Comput. Stat. Data Anal. 77: 25-37 (2014)
[j30]
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Zygmunt L. Szpak, Wojciech Chojnacki, Anders P. Eriksson, Anton van den Hengel:
Sampson distance based joint estimation of multiple homographies with uncalibrated cameras. Comput. Vis. Image Underst. 125: 200-213 (2014)
[j29]
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Chunhua Shen, Guosheng Lin, Anton van den Hengel:
StructBoost: Boosting Methods for Predicting Structured Output Variables. IEEE Trans. Pattern Anal. Mach. Intell. 36(10): 2089-2103 (2014)
[j28]
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Yao Li, Wenjing Jia, Chunhua Shen, Anton van den Hengel:
Characterness: An Indicator of Text in the Wild. IEEE Trans. Image Process. 23(4): 1666-1677 (2014)
[j27]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Large-Margin Learning of Compact Binary Image Encodings. IEEE Trans. Image Process. 23(9): 4041-4054 (2014)
[j26]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Asymmetric Pruning for Learning Cascade Detectors. IEEE Trans. Multim. 16(5): 1254-1267 (2014)
[j25]
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Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel:
Efficient Dual Approach to Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 25(2): 394-406 (2014)
[j24]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, Anton van den Hengel:
RandomBoost: Simplified Multiclass Boosting Through Randomization. IEEE Trans. Neural Networks Learn. Syst. 25(4): 764-779 (2014)
2013
[j23]
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Chunhua Shen, Peng Wang, Sakrapee Paisitkriangkrai, Anton van den Hengel:
Training Effective Node Classifiers for Cascade Classification. Int. J. Comput. Vis. 103(3): 326-347 (2013)
[j22]
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Yanzhi Chen, Anthony R. Dick, Xi Li, Anton van den Hengel:
Spatially aware feature selection and weighting for object retrieval. Image Vis. Comput. 31(12): 935-948 (2013)
[j21]
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Chunhua Shen, Hanxi Li, Anton van den Hengel:
Fully corrective boosting with arbitrary loss and regularization. Neural Networks 48: 44-58 (2013)
[j20]
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Xi Li, Anthony R. Dick, Chunhua Shen, Anton van den Hengel, Hanzi Wang:
Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 863-881 (2013)
[j19]
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Fumin Shen, Chunhua Shen, Anton van den Hengel, Zhenmin Tang:
Approximate Least Trimmed Sum of Squares Fitting and Applications in Image Analysis. IEEE Trans. Image Process. 22(5): 1836-1847 (2013)
[j18]
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Xi Li, Anthony R. Dick, Chunhua Shen, Zhongfei Zhang, Anton van den Hengel, Hanzi Wang:
Visual Tracking With Spatio-Temporal Dempster-Shafer Information Fusion. IEEE Trans. Image Process. 22(8): 3028-3040 (2013)
[j17]
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Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony R. Dick, Anton van den Hengel:
A survey of appearance models in visual object tracking. ACM Trans. Intell. Syst. Technol. 4(4): 58:1-58:48 (2013)
[j16]
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Lei Luo, Chunhua Shen, Chunyuan Zhang, Anton van den Hengel:
Shape Similarity Analysis by Self-Tuning Locally Constrained Mixed-Diffusion. IEEE Trans. Multim. 15(5): 1174-1183 (2013)
2012
[j15]
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Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel:
Positive Semidefinite Metric Learning Using Boosting-like Algorithms. J. Mach. Learn. Res. 13: 1007-1036 (2012)
[j14]
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Anders P. Eriksson, Anton van den Hengel:
Efficient Computation of Robust Weighted Low-Rank Matrix Approximations Using the L_1 Norm. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1681-1690 (2012)
[j13]
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Yanzhi Chen, Xi Li, Anthony R. Dick, Anton van den Hengel:
Boosting Object Retrieval With Group Queries. IEEE Signal Process. Lett. 19(11): 765-768 (2012)
2011
[j12]
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Hyoseok Yoon, Anton van den Hengel, Gerhard Reitmayr, Joshua Lifton, Sung-Hee Lee, Woontack Woo:
Toward a Digital Ecosystem: International Symposium on Ubiquitous Virtual Reality 2010. IEEE Pervasive Comput. 10(2): 90-93 (2011)
2009
[j11]
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Anton van den Hengel, Dylan Sale, Anthony R. Dick:
SecondSkin: An interactive method for appearance transfer. Comput. Graph. Forum 28(7): 1735-1744 (2009)
2008
[j10]
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Henry Detmold, Anton van den Hengel, Anthony R. Dick, Katrina Falkner, David S. Munro, Ronald Morrison:
Middleware for Distributed Video Surveillance. IEEE Distributed Syst. Online 9(2) (2008)
2007
[j9]
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Chunhua Shen, Michael J. Brooks, Anton van den Hengel:
Fast Global Kernel Density Mode Seeking: Applications to Localization and Tracking. IEEE Trans. Image Process. 16(5): 1457-1469 (2007)
[j8]
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Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr:
VideoTrace: rapid interactive scene modelling from video. ACM Trans. Graph. 26(3): 86 (2007)
2005
[j7]
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Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawley:
FNS, CFNS and HEIV: A Unifying Approach. J. Math. Imaging Vis. 23(2): 175-183 (2005)
2004
[j6]
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Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawley:
A new constrained parameter estimator for computer vision applications. Image Vis. Comput. 22(2): 85-91 (2004)
[j5]
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Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawley:
From FNS to HEIV: A Link between Two Vision Parameter Estimation Methods. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 264-268 (2004)
2003
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Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawley:
Revisiting Hartley's Normalized Eight-Point Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 25(9): 1172-1177 (2003)
2001
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Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel:
Rationalising the Renormalisation Method of Kanatani. J. Math. Imaging Vis. 14(1): 21-38 (2001)
2000
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Kenichi Kanatani, Yoshiyuki Shimizu, Naoya Ohta, Michael J. Brooks, Wojciech Chojnacki, Anton van den Hengel:
Fundamental matrix from optical flow: optimal computation and reliability evaluation. J. Electronic Imaging 9(2): 194-202 (2000)
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Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawley:
On the Fitting of Surfaces to Data with Covariances. IEEE Trans. Pattern Anal. Mach. Intell. 22(11): 1294-1303 (2000)

Conference and Workshop Papers

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2025
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Zhedong Zhang, Liang Li, Chenggang Yan, Chunshan Liu, Anton van den Hengel, Yuankai Qi:
Prosody-Enhanced Acoustic Pre-training and Acoustic-Disentangled Prosody Adapting for Movie Dubbing. CVPR 2025: 172-182
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Liang Chen, Zhe Xue, Yawen Li, Meiyu Liang, Yan Wang, Anton van den Hengel, Yuankai Qi:
Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering. CVPR 2025: 10295-10304
[c193]
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Gaoxiang Cong, Jiadong Pan, Liang Li, Yuankai Qi, Yuxin Peng, Anton van den Hengel, Jian Yang, Qingming Huang:
EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing. CVPR 2025: 15863-15873
[c192]
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Zhen Yang, Zhuo Tao, Qi Chen, Liang Li, Yuankai Qi, Anton van den Hengel, Qingming Huang:
Separation of Powers: On Segregating Knowledge from Observation in LLM-enabled Knowledge-based Visual Question Answering. CVPR 2025: 24753-24762
[c191]
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Shan Zhang, Yao Ni, Jinhao Du, Yuan Xue, Philip Torr, Piotr Koniusz, Anton van den Hengel:
Open-World Objectness Modeling Unifies Novel Object Detection. CVPR 2025: 30332-30342
[c190]
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Ta Duc Huy, Sen Kim Tran, Phan Nguyen, Nguyen Hoang Tran, Tran Bao Sam, Anton van den Hengel, Zhibin Liao, Johan W. Verjans, Minh-Son To, Vu Minh Hieu Phan:
Interactive Medical Image Analysis with Concept-based Similarity Reasoning. CVPR 2025: 30797-30806
[c189]
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Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi:
Analytic DAG Constraints for Differentiable DAG Learning. ICLR 2025
[c188]
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Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad:
RandLoRA: Full rank parameter-efficient fine-tuning of large models. ICLR 2025
[c187]
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Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese-Taylor, Anton van den Hengel:
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. ICLR 2025
[c186]
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Ta Duc Huy, Abin Shoby, Sen Kim Tran, Yutong Xie, Qi Chen, Phi Le Nguyen, Akshay Gole, Lingqiao Liu, Antonios Perperidis, Mark Friswell, Rebecca Linke, Andrea Glynn, Minh-Son To, Anton van den Hengel, Johan Verjans, Zhibin Liao, Minh Hieu Phan:
PedCLIP: A Vision-Language Model for Pediatric X-Rays with Mixture of Body Part Experts. MICCAI (5) 2025: 487-497
2024
[c185]
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Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel:
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. AAAI 2024: 4641-4649
[c184]
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Gaoxiang Cong, Yuankai Qi, Liang Li, Amin Beheshti, Zhedong Zhang, Anton van den Hengel, Ming-Hsuan Yang, Chenggang Yan, Qingming Huang:
StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing. ACL (Findings) 2024: 6767-6779
[c183]
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Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel:
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CVPR 2024: 9870-9880
[c182]
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Townim Faisal Chowdhury, Kewen Liao, Vu Minh Hieu Phan, Minh-Son To, Yutong Xie, Kevin Hung, David Ross, Anton van den Hengel, Johan W. Verjans, Zhibin Liao:
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. CVPR 2024: 11072-11081
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Xinyan Liu, Guorong Li, Yuankai Qi, Ziheng Yan, Zhenjun Han, Anton van den Hengel, Ming-Hsuan Yang, Qingming Huang:
Weakly Supervised Video Individual Counting. CVPR 2024: 19228-19237
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Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Identifiable Latent Polynomial Causal Models through the Lens of Change. ICLR 2024
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Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel:
Improving the Convergence of Dynamic NeRFs via Optimal Transport. ICLR 2024
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Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao:
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. MICCAI (10) 2024: 35-45
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Zhedong Zhang, Liang Li, Gaoxiang Cong, Haibing Yin, Yuhan Gao, Chenggang Yan, Anton van den Hengel, Yuankai Qi:
From Speaker to Dubber: Movie Dubbing with Prosody and Duration Consistency Learning. ACM Multimedia 2024: 7523-7532
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Frederic Z. Zhang, Paul Albert, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad:
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling. NeurIPS 2024
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Julien Monteil, Volodymyr Vaskovych, Wentao Lu, Anirban Majumder, Anton van den Hengel:
MARec: Metadata Alignment for cold-start Recommendation. RecSys 2024: 401-410
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Amila Silva, Olga Moskvyak, Alexander Long, Ravi Garg, Stephen Gould, Gil Avraham, Anton van den Hengel:
LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes. WACV 2024: 8031-8040
2023
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Yangyang Shu, Anton van den Hengel, Lingqiao Liu:
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. CVPR 2023: 11392-11401
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Tianyu Zhu, Bryce Ferenczi, Pulak Purkait, Tom Drummond, Hamid Rezatofighi, Anton van den Hengel:
Knowledge Combination to Learn Rotated Detection without Rotated Annotation. CVPR 2023: 15518-15527
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Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton van den Hengel:
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups. ICCV 2023: 1229-1238
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Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu:
Domain Generalization via Rationale Invariance. ICCV 2023: 1751-1760
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Guansong Pang, Chunhua Shen, Huidong Jin, Anton van den Hengel:
Deep Weakly-supervised Anomaly Detection. KDD 2023: 1795-1807
[c168]
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Hisham Husain, Vu Nguyen, Anton van den Hengel:
Distributionally Robust Bayesian Optimization with φ-divergences. NeurIPS 2023
[c167]
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Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel:
RanPAC: Random Projections and Pre-trained Models for Continual Learning. NeurIPS 2023
2022
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Anthony Manchin, Jamie Sherrah, Qi Wu, Anton van den Hengel:
Program Generation from Diverse Video Demonstrations. BMVC 2022: 1039
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Qingsen Yan, Dong Gong, Yuhang Liu, Anton van den Hengel, Javen Qinfeng Shi:
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. CVPR 2022: 109-118
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Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. CVPR 2022: 6949-6959
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Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi:
Active Learning by Feature Mixing. CVPR 2022: 12227-12236
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Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel:
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CVPR 2022: 16740-16751
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Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton van den Hengel:
Poseur: Direct Human Pose Regression with Transformers. ECCV (6) 2022: 72-88
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Tong He, Wei Yin, Chunhua Shen, Anton van den Hengel:
PointInst3D: Segmenting 3D Instances by Points. ECCV (3) 2022: 286-302
[c159]
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Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich:
ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. KDD 2022: 4892-4893
[c158]
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Guansong Pang, Ngoc Thien Anh Pham, Emma Baker, Rebecca Bentley, Anton van den Hengel:
Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification. PAKDD (2) 2022: 236-248
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Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel:
ForeSI: Success-Aware Visual Navigation Agent. WACV 2022: 3401-3410
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Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel:
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. WSDM 2022: 704-714
2021
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Haifeng Shen, Kewen Liao, Zhibin Liao, Job N. Doornberg, Maoying Qiao, Anton van den Hengel, Johan W. Verjans:
Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps. CHI Extended Abstracts 2021: 290:1-290:8
[c154]
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Tong He, Chunhua Shen, Anton van den Hengel:
DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution. CVPR 2021: 354-363
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Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Unshuffling Data for Improved Generalization in Visual Question Answering. ICCV 2021: 1397-1407
[c152]
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Yuankai Qi, Zizheng Pan, Yicong Hong, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu:
The Road to Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation. ICCV 2021: 1635-1644
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Dong Gong, Zhen Zhang, Qinfeng (Javen) Shi, Anton van den Hengel:
Memory-augmented Dynamic Neural Relational Inference. ICCV 2021: 11823-11832
[c150]
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Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao:
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. KDD 2021: 1298-1308
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Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich:
Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). KDD 2021: 4145-4146
2020
[c148]
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Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. AAAI 2020: 12071-12078
[c147]
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Zhibin Liao, Qi Wu, Chunhua Shen, Anton van den Hengel, Johan Verjans:
AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering. CLEF (Working Notes) 2020
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Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel:
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments. CVPR 2020: 9979-9988
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Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel:
Counterfactual Vision and Language Learning. CVPR 2020: 10041-10051
[c144]
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Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang:
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. CVPR 2020: 10123-10132
[c143]
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Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai:
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. CVPR 2020: 12170-12179
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Ehsan Abbasnejad, Iman Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning. CVPR 2020: 13447-13456
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Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu:
Object-and-Action Aware Model for Visual Language Navigation. ECCV (10) 2020: 303-317
[c140]
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Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. ECCV (10) 2020: 580-599
[c139]
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Zhibin Liao, Lingqiao Liu, Qi Wu, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans:
Medical Data Inquiry Using a Question Answering Model. ISBI 2020: 1490-1493
[c138]
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Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Qinfeng Shi, Anton van den Hengel:
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen. NeurIPS 2020
[c137]
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Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel:
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. NeurIPS 2020
2019
[c136]
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Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. CVPR 2019: 1751-1760
[c135]
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Damien Teney, Anton van den Hengel:
Actively Seeking and Learning From Live Data. CVPR 2019: 1940-1949
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Peng Wang, Qi Wu, Jiewei Cao, Chunhua Shen, Lianli Gao, Anton van den Hengel:
Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks. CVPR 2019: 1960-1968
[c133]
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Ehsan Abbasnejad, Qi Wu, Qinfeng Shi, Anton van den Hengel:
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions. CVPR 2019: 4155-4164
[c132]
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Hui Li, Peng Wang, Chunhua Shen, Anton van den Hengel:
Visual Question Answering as Reading Comprehension. CVPR 2019: 6319-6328
[c131]
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M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu:
A Generative Adversarial Density Estimator. CVPR 2019: 10782-10791
[c130]
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Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel:
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. ICCV 2019: 1705-1714
[c129]
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Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel:
Reinforcement Learning with Attention that Works: A Self-Supervised Approach. ICONIP (5) 2019: 223-230
[c128]
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Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro:
End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. ISBI 2019: 802-805
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Guansong Pang, Chunhua Shen, Anton van den Hengel:
Deep Anomaly Detection with Deviation Networks. KDD 2019: 353-362
[c126]
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Xuguang Duan, Qi Wu, Chuang Gan, Yiwei Zhang, Wenbing Huang, Anton van den Hengel, Wenwu Zhu:
Watch, Reason and Code: Learning to Represent Videos Using Program. ACM Multimedia 2019: 1543-1551
2018
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Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection. AAAI 2018: 7631-7638
[c124]
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M. Ehsan Abbasnejad, Anthony R. Dick, Qinfeng Shi, Anton van den Hengel:
Active Learning from Noisy Tagged Images. BMVC 2018: 252
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Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel:
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. CVPR 2018: 3674-3683
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Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel:
Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. CVPR 2018: 4223-4232
[c121]
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Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries. CVPR 2018: 4252-4261
[c120]
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Qi Wu, Peng Wang, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning. CVPR 2018: 6106-6115
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Chao Ma, Chunhua Shen, Anthony R. Dick, Qi Wu, Peng Wang, Anton van den Hengel, Ian D. Reid:
Visual Question Answering With Memory-Augmented Networks. CVPR 2018: 6975-6984
[c118]
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Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel:
Goal-Oriented Visual Question Generation via Intermediate Rewards. ECCV (5) 2018: 189-204
[c117]
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Damien Teney, Anton van den Hengel:
Visual Question Answering as a Meta Learning Task. ECCV (15) 2018: 229-245
[c116]
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Masoud Abdi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi, Ehsan Abbasnejad, Anton van den Hengel:
Discriminative Clustering of High-Dimensional Data Using Generative Modeling. MWSCAS 2018: 799-802
2017
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Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. AAAI 2017: 1934-1940
[c114]
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Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel:
Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties. AAAI 2017: 3804-3811
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Michael Zhu, Anthony R. Dick, Anton van den Hengel:
Large-Scale Camera Network Topology Estimation by Lighting Variation. ACIVS 2017: 455-467
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M. Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel:
Infinite Variational Autoencoder for Semi-Supervised Learning. CVPR 2017: 781-790
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Damien Teney, Lingqiao Liu, Anton van den Hengel:
Graph-Structured Representations for Visual Question Answering. CVPR 2017: 3233-3241
[c110]
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Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. CVPR 2017: 3806-3815
[c109]
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Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel:
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions. CVPR 2017: 3909-3918
[c108]
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Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Sequential Person Recognition in Photo Albums with a Recurrent Network. CVPR 2017: 5660-5668
[c107]
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Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen:
Multi-attention Network for One Shot Learning. CVPR 2017: 6212-6220
[c106]
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Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel:
When Unsupervised Domain Adaptation Meets Tensor Representations. ICCV 2017: 599-608
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Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
Self-Paced Kernel Estimation for Robust Blind Image Deblurring. ICCV 2017: 1670-1679
[c104]
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Peng Wang, Qi Wu, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Explicit Knowledge-based Reasoning for Visual Question Answering. IJCAI 2017: 1290-1296
2016
[c103]
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Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi:
Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. AAAI 2016: 2080-2086
[c102]
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Qi Wu, Chunhua Shen, Lingqiao Liu, Anthony R. Dick, Anton van den Hengel:
What Value Do Explicit High Level Concepts Have in Vision to Language Problems? CVPR 2016: 203-212
[c101]
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Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel:
Pairwise Matching through Max-Weight Bipartite Belief Propagation. CVPR 2016: 1202-1210
[c100]
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Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen:
What's Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution. CVPR 2016: 1573-1581
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Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
Blind Image Deconvolution by Automatic Gradient Activation. CVPR 2016: 1827-1836
[c98]
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Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression. CVPR 2016: 2249-2257
[c97]
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Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian D. Reid:
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation. CVPR 2016: 3194-3203
[c96]
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Qi Wu, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources. CVPR 2016: 4622-4630
[c95]
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Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi:
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization. CVPR 2016: 5877-5886
[c94]
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Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution. ECCV (2) 2016: 19-34
[c93]
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Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Cluster Sparsity Field for Hyperspectral Imagery Denoising. ECCV (5) 2016: 631-647
2015
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Sakrapee Paisitkriangkrai, Jamie Sherrah, Pranam Janney, Anton van den Hengel:
Effective semantic pixel labelling with convolutional networks and Conditional Random Fields. CVPR Workshops 2015: 36-43
[c91]
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Anton van den Hengel, Chris Russell, Anthony R. Dick, John W. Bastian, Daniel Pooley, Lachlan Fleming, Lourdes Agapito:
Part-based modelling of compound scenes from images. CVPR 2015: 878-886
[c90]
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Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mid-level deep pattern mining. CVPR 2015: 971-980
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Bo Li, Chunhua Shen, Yuchao Dai, Anton van den Hengel, Mingyi He:
Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs. CVPR 2015: 1119-1127
[c88]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Learning to rank in person re-identification with metric ensembles. CVPR 2015: 1846-1855
[c87]
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Zygmunt L. Szpak, Wojciech Chojnacki, Anton van den Hengel:
Robust multiple homography estimation: An ill-solved problem. CVPR 2015: 2132-2141
[c86]
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Peng Wang, Chunhua Shen, Anton van den Hengel:
Efficient SDP inference for fully-connected CRFs based on low-rank decomposition. CVPR 2015: 3222-3231
[c85]
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Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang:
Learning graph structure for multi-label image classification via clique generation. CVPR 2015: 4100-4109
[c84]
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Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification. CVPR 2015: 4749-4757
[c83]
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Hayden Faulkner, Ergnoor Shehu, Zygmunt L. Szpak, Wojciech Chojnacki, Jules-Raymond Tapamo, Anthony R. Dick, Anton van den Hengel:
A Study of the Region Covariance Descriptor: Impact of Feature Selection and Image Transformations. DICTA 2015: 1-8
[c82]
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Michael Zhu, Anthony R. Dick, Anton van den Hengel:
Camera Network Topology Estimation by Lighting Variation. DICTA 2015: 1-6
[c81]
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Guosheng Lin, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Deeply Learning the Messages in Message Passing Inference. NIPS 2015: 361-369
[c80]
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Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel:
Image-Based Recommendations on Styles and Substitutes. SIGIR 2015: 43-52
2014
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Bo Li, Yuchao Dai, Mingyi He, Anton van den Hengel:
A relaxation method to articulated trajectory reconstruction from monocular image sequence. ChinaSIP 2014: 389-393
[c78]
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Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter:
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CVPR 2014: 1971-1978
[c77]
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Ben Ward, John W. Bastian, Anton van den Hengel, Daniel Pooley, Rajendra Bari, Bettina Berger, Mark A. Tester:
A Model-Based Approach to Recovering the Structure of a Plant from Images. ECCV Workshops (4) 2014: 215-230
[c76]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features. ECCV (4) 2014: 546-561
[c75]
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Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang:
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors. NIPS 2014: 1143-1151
2013
[c74]
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Peng Wang, Chunhua Shen, Anton van den Hengel:
A Fast Semidefinite Approach to Solving Binary Quadratic Problems. CVPR 2013: 1312-1319
[c73]
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Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang:
Inductive Hashing on Manifolds. CVPR 2013: 1562-1569
[c72]
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Zhenhua Wang, Qinfeng Shi, Chunhua Shen, Anton van den Hengel:
Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs. CVPR 2013: 1690-1697
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Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel:
Part-Based Visual Tracking with Online Latent Structural Learning. CVPR 2013: 2363-2370
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Xi Li, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Learning Compact Binary Codes for Visual Tracking. CVPR 2013: 2419-2426
[c69]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Efficient Pedestrian Detection by Directly Optimizing the Partial Area under the ROC Curve. ICCV 2013: 1057-1064
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Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel:
A General Two-Step Approach to Learning-Based Hashing. ICCV 2013: 2552-2559
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Xi Li, Yao Li, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Contextual Hypergraph Modeling for Salient Object Detection. ICCV 2013: 3328-3335
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Chao Zhang, John W. Bastian, Chunhua Shen, Anton van den Hengel, Tingzhi Shen:
Extended depth-of-field via focus stacking and graph cuts. ICIP 2013: 1272-1276
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Yao Li, Chunhua Shen, Wenjing Jia, Anton van den Hengel:
Leveraging surrounding context for scene text detection. ICIP 2013: 2264-2268
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Guosheng Lin, Chunhua Shen, Anton van den Hengel:
Approximate constraint generation for efficient structured boosting. ICIP 2013: 4287-4291
[c63]
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Xi Li, Guosheng Lin, Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
Learning Hash Functions Using Column Generation. ICML (1) 2013: 142-150
2012
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Guosheng Lin, Chunhua Shen, Anton van den Hengel, David Suter:
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization. ACCV (2) 2012: 782-795
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Xi Li, Chunhua Shen, Qinfeng Shi, Anthony R. Dick, Anton van den Hengel:
Non-sparse linear representations for visual tracking with online reservoir metric learning. CVPR 2012: 1760-1767
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Sharing features in multi-class boosting via group sparsity. CVPR 2012: 2128-2135
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Zygmunt L. Szpak, Wojciech Chojnacki, Anton van den Hengel:
A Comparison of Ellipse Fitting Methods and Implications for Multiple-View Geometry Estimation. DICTA 2012: 1-8
[c58]
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Zygmunt L. Szpak, Wojciech Chojnacki, Anton van den Hengel:
Guaranteed Ellipse Fitting with the Sampson Distance. ECCV (5) 2012: 87-100
[c57]
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Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel:
Robust Tracking with Weighted Online Structured Learning. ECCV (3) 2012: 158-172
[c56]
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Qinfeng Shi, Chunhua Shen, Rhys Hill, Anton van den Hengel:
Is margin preserved after random projection?. ICML 2012
2011
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Qinfeng Shi, Anders P. Eriksson, Anton van den Hengel, Chunhua Shen:
Is face recognition really a Compressive Sensing problem? CVPR 2011: 553-560
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Xi Li, Anthony R. Dick, Hanzi Wang, Chunhua Shen, Anton van den Hengel:
Graph mode-based contextual kernels for robust SVM tracking. ICCV 2011: 1156-1163
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Wojciech Chojnacki, Anton van den Hengel:
A dimensionality result for multiple homography matrices. ICCV 2011: 2104-2109
2010
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Anders P. Eriksson, Anton van den Hengel:
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm. CVPR 2010: 771-778
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Yanzhi Chen, Anthony R. Dick, Anton van den Hengel:
Image Retrieval with a Visual Thesaurus. DICTA 2010: 8-14
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Wojciech Chojnacki, Zygmunt L. Szpak, Michael J. Brooks, Anton van den Hengel:
Multiple Homography Estimation with Full Consistency Constraints. DICTA 2010: 480-485
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John W. Bastian, Ben Ward, Rhys Hill, Anton van den Hengel, Anthony R. Dick:
Interactive modelling for AR applications. ISMAR 2010: 199-205
2009
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Alex Cichowski, Christopher S. Madden, Anton van den Hengel, Rhys Hill, Henry Detmold, Anthony R. Dick:
Contradiction and Correlation for Camera Overlap Estimation. AVSS 2009: 268-273
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Rhys Hill, Christopher S. Madden, Anton van den Hengel, Henry Detmold, Anthony R. Dick:
Measuring Latency for Video Surveillance Systems. DICTA 2009: 89-95
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Wojciech Chojnacki, Rhys Hill, Anton van den Hengel, Michael J. Brooks:
Multi-projective Parameter Estimation for Sets of Homogeneous Matrices. DICTA 2009: 119-124
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Anders P. Eriksson, Anton van den Hengel:
Optimization on the manifold of multiple homographies. ICCV Workshops 2009: 242-249
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Henry Detmold, Anton van den Hengel, Anthony R. Dick, Christopher S. Madden, Alex Cichowski, Rhys Hill:
Surprisal-aware scheduling of PTZ cameras. ICDSC 2009: 1-8
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Anton van den Hengel, Henry Detmold, Christopher S. Madden, Anthony R. Dick, Alex Cichowski, Rhys Hill:
A framework for determining overlap in large scale networks. ICDSC 2009: 1-8
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Anton van den Hengel, Rhys Hill, Ben Ward, Anthony R. Dick:
In situ image-based modeling. ISMAR 2009: 107-110
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Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel:
Positive Semidefinite Metric Learning with Boosting. NIPS 2009: 1651-1659
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Anton van den Hengel, Rhys Hill, Ben Ward, Alex Cichowski, Henry Detmold, Christopher S. Madden, Anthony R. Dick, John W. Bastian:
Automatic camera placement for large scale surveillance networks. WACV 2009: 1-6
2008
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Anton van den Hengel, Rhys Hill, Henry Detmold, Anthony R. Dick:
Searching in space and time: a system for forensic analysis of large video repositories. e-Forensics 2008: 4
[c38]
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Henry Detmold, Anton van den Hengel, Anthony R. Dick, Alex Cichowski, Rhys Hill, Ekim Kocadag, Yuval Yarom, Katrina Falkner, David S. Munro:
Estimating camera overlap in large and growing networks. ICDSC 2008: 1-10
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Rhys Hill, Anton van den Hengel, Anthony R. Dick, Alex Cichowski, Henry Detmold:
Empirical evaluation of the exclusion approach to estimating camera overlap. ICDSC 2008: 1-9
2007
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Anton van den Hengel, Anthony R. Dick, Henry Detmold, Alex Cichowski, Rhys Hill:
Finding Camera Overlap in Large Surveillance Networks. ACCV (1) 2007: 375-384
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Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr:
Interactive 3D Model Completion. DICTA 2007: 175-181
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Alex Flint, Anthony R. Dick, Anton van den Hengel:
Thrift: Local 3D Structure Recognition. DICTA 2007: 182-188
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Daniel Pooley, Michael J. Brooks, Anton van den Hengel:
RATSAC: An Adaptive Method for Accelerated Robust Estimation and its Application to Video Synchronisation. DICTA 2007: 294-300
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Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr:
A shape hierarchy for 3D modelling from video. GRAPHITE 2007: 63-70
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Henry Detmold, Anton van den Hengel, Anthony R. Dick, Alex Cichowski, Rhys Hill, Ekim Kocadag, Katrina Falkner, David S. Munro:
Topology Estimation for Thousand-Camera Surveillance Networks. ICDSC 2007: 195-202
[c30]
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Pankaj Kumar, Michael J. Brooks, Anton van den Hengel:
An Adaptive Bayesian Technique for Tracking Multiple Objects. PReMI 2007: 657-665
2006
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Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr:
Hierarchical Model Fitting to 2D and 3D Data. CGIV 2006: 359-364
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Anton van den Hengel, Anthony R. Dick, Rhys Hill:
Activity Topology Estimation for Large Networks of Cameras. AVSS 2006: 44
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Henry Detmold, Anthony R. Dick, Katrina Falkner, David S. Munro, Anton van den Hengel, Ronald Morrison:
Scalable Surveillance Software Architecture. AVSS 2006: 103
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Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr:
Building Models of Regular Scenes from Structure and Motion. BMVC 2006: 197-206
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Anton van den Hengel, Anthony R. Dick, Thorsten Thormählen, Ben Ward, Philip H. S. Torr:
Rapid Interactive Modelling from Video with Graph Cuts. Eurographics (Short Presentations) 2006: 65-68
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Henry Detmold, Anthony R. Dick, Katrina Falkner, David S. Munro, Anton van den Hengel, Ronald Morrison:
Middleware for video surveillance networks. MidSens 2006: 31-36
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Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks:
Constrained generalised principal component analysis. VISAPP (1) 2006: 206-212
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Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks:
Generalised Principal Component Analysis: Exploiting Inherent Parameter Constraints. VISIGRAPP (Selected Papers) 2006: 217-228
2005
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John W. Bastian, Anton van den Hengel:
Computing Surface-Based Photo-Consistency on Graphics Hardware. DICTA 2005: 76
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Chunhua Shen, Michael J. Brooks, Anton van den Hengel:
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking. ICCV 2005: 1516-1523
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Chunhua Shen, Anton van den Hengel, Michael J. Brooks:
Visual tracking via efficient kernel discriminant subspace learning. ICIP (2) 2005: 590-593
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Chunhua Shen, Michael J. Brooks, Anton van den Hengel:
Augmented particle filtering for efficient visual tracking. ICIP (3) 2005: 856-859
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Rhys Hill, Anton van den Hengel:
Experiences with Simulated Robot Soccer as a Teaching Tool. ICITA (1) 2005: 387-390
2004
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Chunhua Shen, Anton van den Hengel, Anthony R. Dick, Michael J. Brooks:
2D Articulated Tracking with Dynamic Bayesian Networks. CIT 2004: 130-136
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Chunhua Shen, Anton van den Hengel, Anthony R. Dick, Michael J. Brooks:
Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for Visual Tracking. Australian Conference on Artificial Intelligence 2004: 180-191
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Anton van den Hengel, Wojciech Chojnacki, Michael J. Brooks:
Determining the Translational Speed of a Camera from Time-Varying Optical Flow. IWCM 2004: 190-197
2003
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Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
Probabilistic Multiple Cue Integration for Particle Filter Based Tracking. DICTA 2003: 399-408
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Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawley:
FNS, CFNS and HEIV: Extending Three Vision Parameter Estimation Methods. DICTA 2003: 449-458
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John W. Bastian, Anton van den Hengel:
Computing Image-Based Reprojection Error on Graphics Hardware. DICTA 2003: 663-672
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Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawley:
FNS and HEIV: relating two vision parameter estimation frameworks. ICIAP 2003: 152-157
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Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawley:
A statistical rationalisation of Hartley's normalised eight-point algorithm. ICIAP 2003: 334-339
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Daniel W. Pooley, Michael J. Brooks, Anton van den Hengel, Wojciech Chojnacki:
A voting scheme for estimating the synchrony of moving-camera videos. ICIP (1) 2003: 413-416
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Anton van den Hengel, Rhys Hill, Michael J. Brooks:
Incorporating constraints into the design of locally identifiable calibration patterns. ICIP (1) 2003: 817-820
2002
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Anton van den Hengel, Michael J. Brooks, Wojciech Chojnacki, Darren Gawley:
A New Constrained Parameter Estimator: Experiments in Fundamental Matrix Computation. BMVC 2002: 1-9
2001
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Michael J. Brooks, Wojciech Chojnacki, Darren Gawley, Anton van den Hengel:
What Value Covariance Information in Estimating Vision Parameters? ICCV 2001: 302-308
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Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawley:
A fast MLE-based method for estimating the fundamental matrix. ICIP (2) 2001: 189-192
2000
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Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawley:
Estimating Vision Parameters given Data with Covariances. BMVC 2000: 1-10
1999
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Julian Magarey, Anthony R. Dick, Michael J. Brooks, Garry N. Newsam, Anton van den Hengel:
Incorporating the Epipolar Constraint into a Multiresolution Algorithm for Stereo Image Matching. Applied Informatics 1999: 600-603
1998
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Michael J. Brooks, Wojciech Chojnacki, Anton van den Hengel, Luis Baumela:
Robust Techniques for the Estimation of Structure from Motion in the Uncalibrated Case. ECCV (1) 1998: 281-295

Parts in Books or Collections

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2014
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Anthony R. Dick, Anton van den Hengel, Henry Detmold:
Large-Scale Camera Topology Mapping: Application to Re-identification. Person Re-Identification 2014: 391-411

Reference Works

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2014
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Chunhua Shen, Anton van den Hengel:
Semidefinite Programming. Computer Vision, A Reference Guide 2014: 717-719

Informal and Other Publications

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2025
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Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng, Piotr Koniusz, Kai Zou, Anton van den Hengel, Yuan Xue:
Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs. CoRR abs/2501.06430 (2025)
[i190]
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Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad:
RandLoRA: Full-rank parameter-efficient fine-tuning of large models. CoRR abs/2502.00987 (2025)
[i189]
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Ta Duc Huy, Sen Kim Tran, Phan Nguyen, Nguyen Hoang Tran, Tran Bao Sam, Anton van den Hengel, Zhibin Liao, Johan W. Verjans, Minh-Son To, Vu Minh Hieu Phan:
Interactive Medical Image Analysis with Concept-based Similarity Reasoning. CoRR abs/2503.06873 (2025)
[i188]
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Yuhang Liu, Dong Gong, Erdun Gao, Zhen Zhang, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi:
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? CoRR abs/2503.08980 (2025)
[i187]
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Zhedong Zhang, Liang Li, Chenggang Yan, Chunshan Liu, Anton van den Hengel, Yuankai Qi:
Prosody-Enhanced Acoustic Pre-training and Acoustic-Disentangled Prosody Adapting for Movie Dubbing. CoRR abs/2503.12042 (2025)
[i186]
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Zheyuan Liu, Junyan Wang, Zicheng Duan, Cristian Rodriguez Opazo, Anton van den Hengel:
Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video Prediction. CoRR abs/2503.12953 (2025)
[i185]
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Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi:
Analytic DAG Constraints for Differentiable DAG Learning. CoRR abs/2503.19218 (2025)
[i184]
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Yanpeng Sun, Shan Zhang, Wei Tang, Aotian Chen, Piotr Koniusz, Kai Zou, Yuan Xue, Anton van den Hengel:
MATHGLANCE: Multimodal Large Language Models Do Not Know Where to Look in Mathematical Diagrams. CoRR abs/2503.20745 (2025)
[i183]
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Mingkai Tian, Guorong Li, Yuankai Qi, Amin Beheshti, Javen Qinfeng Shi, Anton van den Hengel, Qingming Huang:
The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning. CoRR abs/2503.23679 (2025)
[i182]
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Yichao Cai, Yuhang Liu, Erdun Gao, Tianjiao Jiang, Zhen Zhang, Anton van den Hengel, Javen Qinfeng Shi:
Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning. CoRR abs/2504.10143 (2025)
[i181]
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Shengqin Jiang, Linfei Li, Haokui Zhang, Qingshan Liu, Amin Beheshti, Jian Yang, Anton van den Hengel, Quan Z. Sheng, Yuankai Qi:
ProgRoCC: A Progressive Approach to Rough Crowd Counting. CoRR abs/2504.13405 (2025)
[i180]
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Gaoxiang Cong, Liang Li, Jiadong Pan, Zhedong Zhang, Amin Beheshti, Anton van den Hengel, Yuankai Qi, Qingming Huang:
FlowDubber: Movie Dubbing with LLM-based Semantic-aware Learning and Flow Matching based Voice Enhancing. CoRR abs/2505.01263 (2025)
[i179]
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Bahram Mohammadi, Ehsan Abbasnejad, Yuankai Qi, Qi Wu, Anton van den Hengel, Javen Qinfeng Shi:
Learning to Reason and Navigate: Parameter Efficient Action Planning with Large Language Models. CoRR abs/2505.07500 (2025)
[i178]
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Ta Duc Huy, Duy Anh Huynh, Yutong Xie, Yuankai Qi, Qi Chen, Phi Le Nguyen, Sen Kim Tran, Son Lam Phung, Anton van den Hengel, Zhibin Liao, Minh-Son To, Johan W. Verjans, Vu Minh Hieu Phan:
Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding. CoRR abs/2505.15123 (2025)
[i177]
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Haodong Lu, Xinyu Zhang, Kristen Moore, Minhui Xue, Lina Yao, Anton van den Hengel, Dong Gong:
Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors. CoRR abs/2505.20680 (2025)
[i176]
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Zachary Shinnick, Liangze Jiang, Hemanth Saratchandran, Anton van den Hengel, Damien Teney:
Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning. CoRR abs/2505.22308 (2025)
[i175]
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Xinyu Zhang, Dong Gong, Zicheng Duan, Anton van den Hengel, Lingqiao Liu:
Let Your Video Listen to Your Music! CoRR abs/2506.18881 (2025)
[i174]
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Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Anton van den Hengel, Ehsan Abbasnejad:
Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri-Rao Product. CoRR abs/2508.00230 (2025)
[i173]
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Townim Faisal Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Nanyu Dong, Minh-Son To, Anton van den Hengel, Johan Verjans, Zhibin Liao:
Looking in the mirror: A faithful counterfactual explanation method for interpreting deep image classification models. CoRR abs/2509.16822 (2025)
2024
[i172]
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Yangyang Shu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu:
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale. CoRR abs/2402.01157 (2024)
[i171]
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Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models. CoRR abs/2402.06223 (2024)
[i170]
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Gaoxiang Cong, Yuankai Qi, Liang Li, Amin Beheshti, Zhedong Zhang, Anton van den Hengel, Ming-Hsuan Yang, Chenggang Yan, Qingming Huang:
StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing. CoRR abs/2402.12636 (2024)
[i169]
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Xianghui Yang, Yan Zuo, Sameera Ramasinghe, Loris Bazzani, Gil Avraham, Anton van den Hengel:
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. CoRR abs/2402.18842 (2024)
[i168]
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Mark D. McDonnell, Dong Gong, Ehsan Abbasnejad, Anton van den Hengel:
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning. CoRR abs/2403.07356 (2024)
[i167]
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Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Identifiable Latent Neural Causal Models. CoRR abs/2403.15711 (2024)
[i166]
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Townim Faisal Chowdhury, Kewen Liao, Vu Minh Hieu Phan, Minh-Son To, Yutong Xie, Kevin Hung, David Ross, Anton van den Hengel, Johan W. Verjans, Zhibin Liao:
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. CoRR abs/2404.02388 (2024)
[i165]
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  - journals/corr/abs-2404-13298
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Julien Monteil, Volodymyr Vaskovych, Wentao Lu, Anirban Majumder, Anton van den Hengel:
MARec: Metadata Alignment for cold-start Recommendation. CoRR abs/2404.13298 (2024)
[i164]
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Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Edison Marrese-Taylor, Hamed Damirchi, Anton van den Hengel:
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. CoRR abs/2405.17139 (2024)
[i163]
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  - journals/corr/abs-2407-02880
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Frederic Z. Zhang, Paul Albert, Cristian Rodriguez Opazo, Anton van den Hengel, Ehsan Abbasnejad:
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling. CoRR abs/2407.02880 (2024)
[i162]
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Yangyang Shu, Haiming Xu, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu:
MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss. CoRR abs/2407.04331 (2024)
[i161]
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Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao:
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. CoRR abs/2408.02001 (2024)
[i160]
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Haiyao Cao, Zhen Zhang, Panpan Cai, Yuhang Liu, Jinan Zou, Ehsan Abbasnejad, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi:
Rethinking State Disentanglement in Causal Reinforcement Learning. CoRR abs/2408.13498 (2024)
[i159]
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Haiyao Cao, Jinan Zou, Yuhang Liu, Zhen Zhang, Ehsan Abbasnejad, Anton van den Hengel, Javen Qinfeng Shi:
InvariantStock: Learning Invariant Features for Mastering the Shifting Market. CoRR abs/2409.00671 (2024)
[i158]
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  - journals/corr/abs-2411-12195
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Qi Chen, Ruoshan Zhao, Sinuo Wang, Vu Minh Hieu Phan, Anton van den Hengel, Johan Verjans, Zhibin Liao, Minh-Son To, Yong Xia, Jian Chen, Yutong Xie, Qi Wu:
A Survey of Medical Vision-and-Language Applications and Their Techniques. CoRR abs/2411.12195 (2024)
[i157]
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Gaoxiang Cong, Jiadong Pan, Liang Li, Yuankai Qi, Yuxin Peng, Anton van den Hengel, Jian Yang, Qingming Huang:
EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing. CoRR abs/2412.08988 (2024)
2023
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Anthony Manchin, Jamie Sherrah, Qi Wu, Anton van den Hengel:
Program Generation from Diverse Video Demonstrations. CoRR abs/2302.00178 (2023)
[i155]
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Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel:
BaLi-RF: Bandlimited Radiance Fields for Dynamic Scene Modeling. CoRR abs/2302.13543 (2023)
[i154]
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Yangyang Shu, Anton van den Hengel, Lingqiao Liu:
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. CoRR abs/2303.01669 (2023)
[i153]
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Thalaiyasingam Ajanthan, Matt Ma, Anton van den Hengel, Stephen Gould:
Adaptive Cross Batch Normalization for Metric Learning. CoRR abs/2303.17127 (2023)
[i152]
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  - journals/corr/abs-2304-02199
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Tianyu Zhu, Bryce Ferenczi, Pulak Purkait, Tom Drummond, Hamid Rezatofighi, Anton van den Hengel:
Knowledge Combination to Learn Rotated Detection Without Rotated Annotation. CoRR abs/2304.02199 (2023)
[i151]
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Huong Ha, Vu Nguyen, Hongyu Zhang, Anton van den Hengel:
Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation. CoRR abs/2306.06844 (2023)
[i150]
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Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel:
RanPAC: Random Projections and Pre-trained Models for Continual Learning. CoRR abs/2307.02251 (2023)
[i149]
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Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu:
Domain Generalization via Rationale Invariance. CoRR abs/2308.11158 (2023)
[i148]
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  - journals/corr/abs-2310-15580
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Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Identifiable Latent Polynomial Causal Models Through the Lens of Change. CoRR abs/2310.15580 (2023)
[i147]
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Hamed Damirchi, Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Stephen Gould, Anton van den Hengel:
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines. CoRR abs/2311.17949 (2023)
[i146]
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  - journals/corr/abs-2312-05923
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Xinyan Liu, Guorong Li, Yuankai Qi, Ziheng Yan, Zhenjun Han, Anton van den Hengel, Ming-Hsuan Yang, Qingming Huang:
Weakly Supervised Video Individual CountingWeakly Supervised Video Individual Counting. CoRR abs/2312.05923 (2023)
[i145]
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Cristian Rodriguez Opazo, Edison Marrese-Taylor, Ehsan Abbasnejad, Hamed Damirchi, Ignacio M. De La Jara, Felipe Bravo-Marquez, Anton van den Hengel:
Unveiling Backbone Effects in CLIP: Exploring Representational Synergies and Variances. CoRR abs/2312.14400 (2023)
2022
[i144]
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Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton van den Hengel:
Poseur: Direct Human Pose Regression with Transformers. CoRR abs/2201.07412 (2022)
[i143]
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Wei Yin, Yifan Liu, Chunhua Shen, Anton van den Hengel, Baichuan Sun:
The devil is in the labels: Semantic segmentation from sentences. CoRR abs/2202.02002 (2022)
[i142]
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Jitendra Singh Malik, Guansong Pang, Anton van den Hengel:
Deep Learning for Hate Speech Detection: A Comparative Study. CoRR abs/2202.09517 (2022)
[i141]
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Dong Gong, Qingsen Yan, Yuhang Liu, Anton van den Hengel, Qinfeng (Javen) Shi:
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. CoRR abs/2202.10203 (2022)
[i140]
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Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. CoRR abs/2202.11233 (2022)
[i139]
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  - journals/corr/abs-2203-02128
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Hisham Husain, Vu Nguyen, Anton van den Hengel:
Distributionally Robust Bayesian Optimization with φ-divergences. CoRR abs/2203.02128 (2022)
[i138]
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Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Qinfeng (Javen) Shi:
Active Learning by Feature Mixing. CoRR abs/2203.07034 (2022)
[i137]
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  - journals/corr/abs-2203-10690
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Zhibin Liao, Kewen Liao, Haifeng Shen, Marouska F. van Boxel, Jasper Prijs, Ruurd L. Jaarsma, Job N. Doornberg, Anton van den Hengel, Johan W. Verjans:
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. CoRR abs/2203.10690 (2022)
[i136]
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Tong He, Chunhua Shen, Anton van den Hengel:
PointInst3D: Segmenting 3D Instances by Points. CoRR abs/2204.11402 (2022)
[i135]
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Vu Nguyen, Sachin Farfade, Anton van den Hengel:
Confident Sinkhorn Allocation for Pseudo-Labeling. CoRR abs/2206.05880 (2022)
[i134]
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Violetta Shevchenko, Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel, Damien Teney:
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering. CoRR abs/2206.14355 (2022)
[i133]
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Yutong Xie, Jianpeng Zhang, Yong Xia, Anton van den Hengel, Qi Wu:
ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers. CoRR abs/2208.13138 (2022)
[i132]
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Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Weight-variant Latent Causal Models. CoRR abs/2208.14153 (2022)
[i131]
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  - journals/corr/abs-2212-11491
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Kartik Gupta, Thalaiyasingam Ajanthan, Anton van den Hengel, Stephen Gould:
Understanding and Improving the Role of Projection Head in Self-Supervised Learning. CoRR abs/2212.11491 (2022)
2021
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Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel:
Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge. CoRR abs/2101.06013 (2021)
[i129]
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  - journals/corr/abs-2103-00446
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Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
Learning for Visual Navigation by Imagining the Success. CoRR abs/2103.00446 (2021)
[i128]
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Yuankai Qi, Zizheng Pan, Yicong Hong, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu:
Know What and Know Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation. CoRR abs/2104.04167 (2021)
[i127]
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Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel:
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CoRR abs/2105.05612 (2021)
[i126]
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Tong He, Chunhua Shen, Anton van den Hengel:
Dynamic Convolution for 3D Point Cloud Instance Segmentation. CoRR abs/2107.08392 (2021)
[i125]
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Guansong Pang, Choubo Ding, Chunhua Shen, Anton van den Hengel:
Explainable Deep Few-shot Anomaly Detection with Deviation Networks. CoRR abs/2108.00462 (2021)
[i124]
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  - journals/corr/abs-2112-10063
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Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel:
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. CoRR abs/2112.10063 (2021)
2020
[i123]
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  - journals/corr/abs-2001-02381
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Dong Gong, Wei Sun, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation. CoRR abs/2001.02381 (2020)
[i122]
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  - journals/corr/abs-2002-10215
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Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang:
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. CoRR abs/2002.10215 (2020)
[i121]
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Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Unshuffling Data for Improved Generalization. CoRR abs/2002.11894 (2020)
[i120]
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Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai:
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. CoRR abs/2003.06780 (2020)
[i119]
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Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. CoRR abs/2004.09034 (2020)
[i118]
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  - journals/corr/abs-2005-01239
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Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel:
Visual Question Answering with Prior Class Semantics. CoRR abs/2005.01239 (2020)
[i117]
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  - journals/corr/abs-2005-09241
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Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel:
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. CoRR abs/2005.09241 (2020)
[i116]
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Chenyu Gao, Qi Zhu, Peng Wang, Hui Li, Yuliang Liu, Anton van den Hengel, Qi Wu:
Structured Multimodal Attentions for TextVQA. CoRR abs/2006.00753 (2020)
[i115]
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  - journals/corr/abs-2007-02500
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Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel:
Deep Learning for Anomaly Detection: A Review. CoRR abs/2007.02500 (2020)
[i114]
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  - journals/corr/abs-2007-14626
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Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu:
Object-and-Action Aware Model for Visual Language Navigation. CoRR abs/2007.14626 (2020)
[i113]
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  - journals/corr/abs-2009-06847
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Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao:
Deep Reinforcement Learning for Unknown Anomaly Detection. CoRR abs/2009.06847 (2020)
[i112]
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  - journals/corr/abs-2011-13328
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Tong He, Chunhua Shen, Anton van den Hengel:
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution. CoRR abs/2011.13328 (2020)
[i111]
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  - journals/corr/abs-2012-02950
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Guansong Pang, Ngoc Thien Anh Pham, Emma Baker, Rebecca Bentley, Anton van den Hengel:
Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data. CoRR abs/2012.02950 (2020)
2019
[i110]
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  - journals/corr/abs-1904-02639
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Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel:
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection. CoRR abs/1904.02639 (2019)
[i109]
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Damien Teney, Anton van den Hengel:
Actively Seeking and Learning from Live Data. CoRR abs/1904.02865 (2019)
[i108]
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Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel:
Reinforcement Learning with Attention that Works: A Self-Supervised Approach. CoRR abs/1904.03367 (2019)
[i107]
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Yuankai Qi, Qi Wu, Peter Anderson, Marco Liu, Chunhua Shen, Anton van den Hengel:
RERERE: Remote Embodied Referring Expressions in Real indoor Environments. CoRR abs/1904.10151 (2019)
[i106]
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Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-guided Network for Ghost-free High Dynamic Range Imaging. CoRR abs/1904.10293 (2019)
[i105]
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Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng:
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining. CoRR abs/1905.05404 (2019)
[i104]
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  - journals/corr/abs-1907-12271
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Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. CoRR abs/1907.12271 (2019)
[i103]
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  - journals/corr/abs-1909-13471
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Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints. CoRR abs/1909.13471 (2019)
[i102]
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  - journals/corr/abs-1910-03667
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José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic:
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR abs/1910.03667 (2019)
[i101]
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Guansong Pang, Anton van den Hengel, Chunhua Shen:
Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning. CoRR abs/1910.13601 (2019)
[i100]
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  - journals/corr/abs-1911-08623
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Guansong Pang, Chunhua Shen, Anton van den Hengel:
Deep Anomaly Detection with Deviation Networks. CoRR abs/1911.08623 (2019)
2018
[i99]
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  - journals/corr/abs-1804-03368
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Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang:
Learning an Optimizer for Image Deconvolution. CoRR abs/1804.03368 (2018)
[i98]
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  - journals/corr/abs-1806-01576
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Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel:
Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network. CoRR abs/1806.01576 (2018)
[i97]
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  - journals/corr/abs-1808-10075
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Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, Yanning Zhang, Anton van den Hengel:
Towards Effective Deep Embedding for Zero-Shot Learning. CoRR abs/1808.10075 (2018)
[i96]
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  - journals/corr/abs-1810-05438
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Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution. CoRR abs/1810.05438 (2018)
[i95]
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Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro:
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. CoRR abs/1810.10117 (2018)
[i94]
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  - journals/corr/abs-1811-11903
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Hui Li, Peng Wang, Chunhua Shen, Anton van den Hengel:
Visual Question Answering as Reading Comprehension. CoRR abs/1811.11903 (2018)
[i93]
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  - journals/corr/abs-1812-04794
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Peng Wang, Qi Wu, Jiewei Cao, Chunhua Shen, Lianli Gao, Anton van den Hengel:
Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks. CoRR abs/1812.04794 (2018)
[i92]
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  - journals/corr/abs-1812-06398
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Ehsan Abbasnejad, Qi Wu, Iman Abbasnejad, Javen Shi, Anton van den Hengel:
An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks. CoRR abs/1812.06398 (2018)
[i91]
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Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions. CoRR abs/1812.06401 (2018)
2017
[i90]
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Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Care about you: towards large-scale human-centric visual relationship detection. CoRR abs/1705.09892 (2017)
[i89]
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M. Ehsan Abbasnejad, Qinfeng Shi, Iman Abbasnejad, Anton van den Hengel, Anthony R. Dick:
Bayesian Conditional Generative Adverserial Networks. CoRR abs/1706.05477 (2017)
[i88]
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Chao Ma, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Visual Question Answering with Memory-Augmented Networks. CoRR abs/1707.04968 (2017)
[i87]
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Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Visually Aligned Word Embeddings for Improving Zero-shot Learning. CoRR abs/1707.05427 (2017)
[i86]
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Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel:
When Unsupervised Domain Adaptation Meets Tensor Representations. CoRR abs/1707.05956 (2017)
[i85]
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  - journals/corr/abs-1708-01008
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Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Beyond Low Rank: A Data-Adaptive Tensor Completion Method. CoRR abs/1708.01008 (2017)
[i84]
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  - journals/corr/abs-1708-02711
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Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel:
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge. CoRR abs/1708.02711 (2017)
[i83]
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  - journals/corr/abs-1711-06370
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Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries. CoRR abs/1711.06370 (2017)
[i82]
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  - journals/corr/abs-1711-07280
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Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel:
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments. CoRR abs/1711.07280 (2017)
[i81]
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  - journals/corr/abs-1711-07613
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Qi Wu, Peng Wang, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning. CoRR abs/1711.07613 (2017)
[i80]
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  - journals/corr/abs-1711-07614
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Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel:
Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards. CoRR abs/1711.07614 (2017)
[i79]
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  - journals/corr/abs-1711-08105
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Damien Teney, Anton van den Hengel:
Visual Question Answering as a Meta Learning Task. CoRR abs/1711.08105 (2017)
[i78]
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  - journals/corr/abs-1712-00213
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Zifeng Wu, Chunhua Shen, Anton van den Hengel:
Real-time Semantic Image Segmentation via Spatial Sparsity. CoRR abs/1712.00213 (2017)
2016
[i77]
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  - journals/corr/LiuWSWHWS16
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Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen:
Compositional Model based Fisher Vector Coding for Image Classification. CoRR abs/1601.04143 (2016)
[i76]
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Lin Wu, Chunhua Shen, Anton van den Hengel:
PersonNet: Person Re-identification with Deep Convolutional Neural Networks. CoRR abs/1601.07255 (2016)
[i75]
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Peng Wang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel, Heng Tao Shen:
Hi Detector, What's Wrong with that Object? Identifying Irregular Object From Images by Modelling the Detection Score Distribution. CoRR abs/1602.04422 (2016)
[i74]
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Qi Wu, Chunhua Shen, Anton van den Hengel, Peng Wang, Anthony R. Dick:
Image Captioning and Visual Question Answering Based on Attributes and Their Related External Knowledge. CoRR abs/1603.02814 (2016)
[i73]
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  - journals/corr/LinSHR16
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Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid:
Exploring Context with Deep Structured models for Semantic Segmentation. CoRR abs/1603.03183 (2016)
[i72]
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  - journals/corr/TorresRSH16
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Roberto Luis Shinmoto Torres, Damith Chinthana Ranasinghe, Qinfeng Shi, Anton van den Hengel:
Learning from Imbalanced Multiclass Sequential Data Streams Using Dynamically Weighted Conditional Random Fields. CoRR abs/1603.03627 (2016)
[i71]
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Qichang Hu, Peng Wang, Chunhua Shen, Anton van den Hengel, Fatih Murat Porikli:
Pushing the Limits of Deep CNNs for Pedestrian Detection. CoRR abs/1603.04525 (2016)
[i70]
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Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution. CoRR abs/1603.04619 (2016)
[i69]
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Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Less is more: zero-shot learning from online textual documents with noise suppression. CoRR abs/1604.01146 (2016)
[i68]
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Zifeng Wu, Chunhua Shen, Anton van den Hengel:
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks. CoRR abs/1604.04339 (2016)
[i67]
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Zifeng Wu, Chunhua Shen, Anton van den Hengel:
Bridging Category-level and Instance-level Semantic Image Segmentation. CoRR abs/1605.06885 (2016)
[i66]
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Lin Wu, Chunhua Shen, Anton van den Hengel:
Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification. CoRR abs/1606.01595 (2016)
[i65]
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Lin Wu, Chunhua Shen, Anton van den Hengel:
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach. CoRR abs/1606.01609 (2016)
[i64]
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Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
FVQA: Fact-based Visual Question Answering. CoRR abs/1606.05433 (2016)
[i63]
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Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Visual Question Answering: A Survey of Methods and Datasets. CoRR abs/1607.05910 (2016)
[i62]
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  - journals/corr/TeneyLH16
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Damien Teney, Lingqiao Liu, Anton van den Hengel:
Graph-Structured Representations for Visual Question Answering. CoRR abs/1609.05600 (2016)
[i61]
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Yong Guo, Mingkui Tan, Qingyao Wu, Jian Chen, Anton van den Hengel, Qinfeng Shi:
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs. CoRR abs/1611.01773 (2016)
[i60]
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Damien Teney, Anton van den Hengel:
Zero-Shot Visual Question Answering. CoRR abs/1611.05546 (2016)
[i59]
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Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel:
Infinite Variational Autoencoder for Semi-Supervised Learning. CoRR abs/1611.07800 (2016)
[i58]
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Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Sequential Person Recognition in Photo Albums with a Recurrent Network. CoRR abs/1611.09967 (2016)
[i57]
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Zifeng Wu, Chunhua Shen, Anton van den Hengel:
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition. CoRR abs/1611.10080 (2016)
[i56]
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Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur. CoRR abs/1612.02583 (2016)
[i55]
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Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel:
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions. CoRR abs/1612.05386 (2016)
2015
[i54]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Learning to rank in person re-identification with metric ensembles. CoRR abs/1503.01543 (2015)
[i53]
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Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi:
Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient. CoRR abs/1503.02828 (2015)
[i52]
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Ben Ward, John W. Bastian, Anton van den Hengel, Daniel Pooley, Rajendra Bari, Bettina Berger, Mark A. Tester:
A model-based approach to recovering the structure of a plant from images. CoRR abs/1503.03191 (2015)
[i51]
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Guosheng Lin, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Efficient piecewise training of deep structured models for semantic segmentation. CoRR abs/1504.01013 (2015)
[i50]
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Peng Wang, Chunhua Shen, Anton van den Hengel:
Efficient SDP Inference for Fully-connected CRFs Based on Low-rank Decomposition. CoRR abs/1504.01492 (2015)
[i49]
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Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. CoRR abs/1504.04923 (2015)
[i48]
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Qi Wu, Chunhua Shen, Anton van den Hengel, Lingqiao Liu, Anthony R. Dick:
Image Captioning with an Intermediate Attributes Layer. CoRR abs/1506.01144 (2015)
[i47]
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Guosheng Lin, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Deeply Learning the Messages in Message Passing Inference. CoRR abs/1506.02108 (2015)
[i46]
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Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel:
Image-based Recommendations on Styles and Substitutes. CoRR abs/1506.04757 (2015)
[i45]
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Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mining Mid-level Visual Patterns with Deep CNN Activations. CoRR abs/1506.06343 (2015)
[i44]
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Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Cross-convolutional-layer Pooling for Generic Visual Recognition. CoRR abs/1510.00921 (2015)
[i43]
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Qichang Hu, Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel, Fatih Porikli:
Fast detection of multiple objects in traffic scenes with a common detection framework. CoRR abs/1510.03125 (2015)
[i42]
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Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
Explicit Knowledge-based Reasoning for Visual Question Answering. CoRR abs/1511.02570 (2015)
[i41]
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Qi Wu, Peng Wang, Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources. CoRR abs/1511.06973 (2015)
[i40]
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Sakrapee Paisitkriangkrai, Lin Wu, Chunhua Shen, Anton van den Hengel:
Structured learning of metric ensembles with application to person re-identification. CoRR abs/1511.08531 (2015)
2014
[i39]
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Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang:
A Hybrid Loss for Multiclass and Structured Prediction. CoRR abs/1402.1921 (2014)
[i38]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Large-margin Learning of Compact Binary Image Encodings. CoRR abs/1402.6383 (2014)
[i37]
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Anton van den Hengel, John W. Bastian, Anthony R. Dick, Lachlan Fleming:
Deconstruction of compound objects from image sets. CoRR abs/1402.6416 (2014)
[i36]
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Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter:
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CoRR abs/1404.1561 (2014)
[i35]
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Peng Wang, Chunhua Shen, Anton van den Hengel, Philip H. S. Torr:
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference. CoRR abs/1404.5009 (2014)
[i34]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features. CoRR abs/1407.0786 (2014)
[i33]
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Guosheng Lin, Chunhua Shen, Anton van den Hengel:
Supervised Hashing Using Graph Cuts and Boosted Decision Trees. CoRR abs/1408.5574 (2014)
[i32]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning. CoRR abs/1409.5209 (2014)
[i31]
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Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mid-level Deep Pattern Mining. CoRR abs/1411.6382 (2014)
[i30]
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Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang:
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors. CoRR abs/1411.6406 (2014)
[i29]
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Hui Li, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Worst-Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems. CoRR abs/1411.7450 (2014)
[i28]
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Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
The Treasure beneath Convolutional Layers: Cross-convolutional-layer Pooling for Image Classification. CoRR abs/1411.7466 (2014)
[i27]
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Peng Wang, Chunhua Shen, Anton van den Hengel:
Large-scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications. CoRR abs/1411.7564 (2014)
[i26]
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Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen:
Hashing on Nonlinear Manifolds. CoRR abs/1412.0826 (2014)
2013
[i25]
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  - journals/corr/abs-1301-2032
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Chunhua Shen, Peng Wang, Sakrapee Paisitkriangkrai, Anton van den Hengel:
Training Effective Node Classifiers for Cascade Classification. CoRR abs/1301.2032 (2013)
[i24]
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  - journals/corr/abs-1302-0963
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Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, Anton van den Hengel:
RandomBoost: Simplified Multi-class Boosting through Randomization. CoRR abs/1302.0963 (2013)
[i23]
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  - journals/corr/abs-1302-3219
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Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel:
An Efficient Dual Approach to Distance Metric Learning. CoRR abs/1302.3219 (2013)
[i22]
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Chunhua Shen, Guosheng Lin, Anton van den Hengel:
StructBoost: Boosting Methods for Predicting Structured Output Variables. CoRR abs/1302.3283 (2013)
[i21]
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Xi Li, Guosheng Lin, Chunhua Shen, Anton van den Hengel, Anthony R. Dick:
Learning Hash Functions Using Column Generation. CoRR abs/1303.0339 (2013)
[i20]
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Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony R. Dick, Anton van den Hengel:
A Survey of Appearance Models in Visual Object Tracking. CoRR abs/1303.4803 (2013)
[i19]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Asymmetric Pruning for Learning Cascade Detectors. CoRR abs/1303.6066 (2013)
[i18]
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Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang:
Inductive Hashing on Manifolds. CoRR abs/1303.7043 (2013)
[i17]
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Peng Wang, Chunhua Shen, Anton van den Hengel:
A Fast Semidefinite Approach to Solving Binary Quadratic Problems. CoRR abs/1304.0840 (2013)
[i16]
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Fumin Shen, Chunhua Shen, Rhys Hill, Anton van den Hengel, Zhenmin Tang:
Fast Approximate L_infty Minimization: Speeding Up Robust Regression. CoRR abs/1304.1250 (2013)
[i15]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
A scalable stage-wise approach to large-margin multi-class loss based boosting. CoRR abs/1307.5497 (2013)
[i14]
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Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel:
A General Two-Step Approach to Learning-Based Hashing. CoRR abs/1309.1853 (2013)
[i13]
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Yao Li, Wenjing Jia, Chunhua Shen, Anton van den Hengel:
Characterness: An Indicator of Text in the Wild. CoRR abs/1309.6691 (2013)
[i12]
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Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel:
Efficient pedestrian detection by directly optimize the partial area under the ROC curve. CoRR abs/1310.0900 (2013)
[i11]
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Fayao Liu, Chunhua Shen, Ian Reid, Anton van den Hengel:
Online Unsupervised Feature Learning for Visual Tracking. CoRR abs/1310.1690 (2013)
[i10]
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Xi Li, Yao Li, Chunhua Shen, Anthony R. Dick, Anton van den Hengel:
Contextual Hypergraph Modelling for Salient Object Detection. CoRR abs/1310.5767 (2013)
[i9]
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Guosheng Lin, Chunhua Shen, Anton van den Hengel, David Suter:
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization. CoRR abs/1311.5947 (2013)
[i8]
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Zhen Zhang, Qinfeng Shi, Yanning Zhang, Chunhua Shen, Anton van den Hengel:
Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations. CoRR abs/1312.4637 (2013)
2012
[i7]
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  - journals/corr/abs-1204-2912
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Xi Li, Chunhua Shen, Qinfeng Shi, Anthony R. Dick, Anton van den Hengel:
Non-sparse Linear Representations for Visual Tracking with Online Reservoir Metric Learning. CoRR abs/1204.2912 (2012)
[i6]
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  - journals/corr/abs-1206-4651
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Qinfeng Shi, Chunhua Shen, Rhys Hill, Anton van den Hengel:
Is margin preserved after random projection? CoRR abs/1206.4651 (2012)
[i5]
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  dblp key:
  - journals/corr/abs-1207-3389
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  - https://dblp.org/rec/journals/corr/abs-1207-3389
Xi Li, Anthony R. Dick, Chunhua Shen, Anton van den Hengel, Hanzi Wang:
Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking. CoRR abs/1207.3389 (2012)
[i4]
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  dblp key:
  - journals/corr/abs-1210-4601
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  - https://dblp.org/rec/journals/corr/abs-1210-4601
Chunhua Shen, Sakrapee Paisitkriangkrai, Anton van den Hengel:
A Direct Approach to Multi-class Boosting and Extensions. CoRR abs/1210.4601 (2012)
2011
[i3]
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  dblp key:
  - journals/corr/abs-1104-4704
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  - https://dblp.org/rec/journals/corr/abs-1104-4704
Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel:
Positive Semidefinite Metric Learning Using Boosting-like Algorithms. CoRR abs/1104.4704 (2011)
2010
[i2]
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  dblp key:
  - journals/corr/abs-1008-3742
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  - https://dblp.org/rec/journals/corr/abs-1008-3742
Chunhua Shen, Peng Wang, Anton van den Hengel:
Optimally Training a Cascade Classifier. CoRR abs/1008.3742 (2010)
2009
[i1]
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  dblp key:
  - journals/corr/abs-0910-2279
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Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel:
Positive Semidefinite Metric Learning with Boosting. CoRR abs/0910.2279 (2009)

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