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BMVC 2016: York, UK
- Richard C. Wilson, Edwin R. Hancock, William A. P. Smith:
Proceedings of the British Machine Vision Conference 2016, BMVC 2016, York, UK, September 19-22, 2016. BMVA Press 2016
Tutorial
- Abhijeet Ghosh:
Measurement Based Appearance Modelling.
Keynote 1
- Katsushi Ikeuchi:
e-Intangible Heritage.
Segmentation
- Wei Teng, Yu Zhang, Xiaowu Chen, Jia Li, Zhiqiang He:
Local Shape Transfer for Image Co-segmentation. - Imanol Luengo, Mark Basham, Andrew P. French:
SMURFS: Superpixels from Multi-scale Refinement of Super-regions. - Arash Akbarinia, C. Alejandro Párraga:
Biologically plausible boundary detection. - Qinbing Fu, Shigang Yue, Cheng Hu:
Bio-inspired Collision Detector with Enhanced Selectivity for Ground Robotic Vision System. - Gernot Riegler, David Ferstl, Matthias Rüther, Horst Bischof:
A Deep Primal-Dual Network for Guided Depth Super-Resolution. - Yi-Lei Chen, Chiou-Ting Hsu:
Towards Deep Style Transfer: A Content-Aware Perspective. - Christian Reinbacher, Gottfried Graber, Thomas Pock:
Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation.
Posters 1
- Shida Beigpour, Mai Lan Ha, Sven Kunz, Andreas Kolb, Volker Blanz:
Multi-view Multi-illuminant Intrinsic Dataset. - Daniel Barath, Jiri Matas, Levente Hajder:
Accurate Closed-form Estimation of Local Affine Transformations Consistent with the Epipolar Geometry. - Hirokatsu Kataoka, Yudai Miyashita, Masaki Hayashi, Kenji Iwata, Yutaka Satoh:
Recognition of Transitional Action for Short-Term Action Prediction using Discriminative Temporal CNN Feature. - Daniel Barath, Jiri Matas, Levente Hajder:
Multi-H: Efficient recovery of tangent planes in stereo images. - Weiyang Liu, Zhiding Yu, Yandong Wen, Rongmei Lin, Meng Yang:
Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. - Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár:
A MultiPath Network for Object Detection. - Yusuke Sekikawa, Koichiro Suzuki, Yuichi Yoshida, Kosuke Hara, Ikuro Sato:
Fast Eigen Matching. - Han Gong, Graham D. Finlayson, Robert B. Fisher:
Recoding Color Transfer as A Color Homography. - Brandon M. Smith, Charles R. Dyer:
Pose-Robust 3D Facial Landmark Estimation from a Single 2D Image. - Anurag Arnab, Philip H. S. Torr:
Bottom-up Instance Segmentation using Deep Higher-Order CRFs. - Scott Workman, Menghua Zhai, Nathan Jacobs:
Horizon Lines in the Wild. - Wadim Kehl, Tobias Holl, Federico Tombari, Slobodan Ilic, Nassir Navab:
An Octree-Based Approach towards Efficient Variational Range Data Fusion. - Da Chen, Jean-Marie Mirebeau, Laurent D. Cohen:
Finsler Geodesics Evolution Model for Region based Active Contours. - Akihito Seki, Marc Pollefeys:
Patch Based Confidence Prediction for Dense Disparity Map. - Mohammad Moghimi, Serge J. Belongie, Mohammad J. Saberian, Jian Yang, Nuno Vasconcelos, Li-Jia Li:
Boosted Convolutional Neural Networks. - Jeroen Put, Nick Michiels:
Material-Specific Chromaticity Priors. - Alireza Shafaei, James J. Little, Mark Schmidt:
Play and Learn: Using Video Games to Train Computer Vision Models. - Miroslava Slavcheva, Slobodan Ilic:
SDF-TAR: Parallel Tracking and Refinement in RGB-D Data using Volumetric Registration. - Behnam Gholami, Abolfazl Hajisami:
Probabilistic Semi-Supervised Multi-Modal Hashing. - Felix Juefei-Xu, Marios Savvides:
Learning to Invert Local Binary Patterns. - Adam Kortylewski, Thomas Vetter:
Probabilistic Compositional Active Basis Models for Robust Pattern Recognition. - Qiang Zhang, Abhir Bhalerao:
Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment. - Nimisha T. M, Arun Mathamkode, Rajagopalan Ambasamudram:
Dictionary Replacement for Single Image Restoration of 3D Scenes. - Sukanya Patil, Ajit Rajwade:
Poisson Noise Removal for Image Demosaicing. - Frederick Tung, James J. Little:
Factorized Binary Codes for Large-Scale Nearest Neighbor Search. - Xin Wang, Wei Dong, Mingcai Zhou, Renju Li, Hongbin Zha:
Edge Enhanced Direct Visual Odometry. - Laurent Hoeltgen, Yvain Quéau, Michael Breuß, Georg Radow:
Optimised photometric stereo via non-convex variational minimisation. - Stefan Heber, Wei Yu, Thomas Pock:
U-shaped Networks for Shape from Light Field. - Mathias Gallardo, Toby Collins, Adrien Bartoli:
Using Shading and a 3D Template to Reconstruct Complex Surface Deformations. - Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, William T. Freeman:
Physics 101: Learning Physical Object Properties from Unlabeled Videos. - Yang Long, Li Liu, Ling Shao:
Attribute Embedding with Visual-Semantic Ambiguity Removal for Zero-shot Learning. - Vladislav Golyanik, Aman S. Mathur, Didier Stricker:
NRSfM-Flow: Recovering Non-Rigid Scene Flow from Monocular Image Sequences. - Chris Russell, Lourdes Agapito, Rui Yu, Andrew W. Fitzgibbon, Liu-Yin Qi:
Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading. - Wei Liu, Chaofeng Chen, Kwan-Yee K. Wong, Zhizhong Su, Junyu Han:
STAR-Net: A SpaTial Attention Residue Network for Scene Text Recognition. - Subarna Tripathi, Zachary C. Lipton, Serge J. Belongie, Truong Q. Nguyen:
Context Matters: Refining Object Detection in Video with Recurrent Neural Networks. - Viktor Larsson, Johan Fredriksson, Carl Toft, Fredrik Kahl:
Outlier Rejection for Absolute Pose Estimation with Known Orientation. - Matteo Poggi, Stefano Mattoccia:
Learning from scratch a confidence measure. - Giorgos Karvounas, Iason Oikonomidis, Antonis A. Argyros:
Localizing Periodicity in Time Series and Videos. - Mengran Gou, Xikang Zhang, Angels Rates-Borras, Sadjad Asghari-Esfeden, Octavia I. Camps, Mario Sznaier:
Person Re-identification in Appearance Impaired Scenarios. - Hani Altwaijry, Andreas Veit, Serge J. Belongie:
Learning to Detect and Match Keypoints with Deep Architectures. - Bahadir Ozdemir, Mahyar Najibi, Larry S. Davis:
Supervised Incremental Hashing. - Yancheng Bai, Wenjing Ma, Yucheng Li, Liangliang Cao, Wen Guo, Luwei Yang:
Multi-Scale Fully Convolutional Network for Fast Face Detection. - Eu Wern Teh, Mrigank Rochan, Yang Wang:
Attention Networks for Weakly Supervised Object Localization. - Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada:
Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset. - Arash Shahriari:
Learning of Separable Filters by Stacked Fisher Convolutional Autoencoders. - Karthik Seemakurthy, Subeesh Vasu, Rajagopalan Ambasamudram:
Deskewing by space-variant deblurring. - Yujie Zhong, Relja Arandjelovic, Andrew Zisserman:
Faces in Places: compound query retrieval. - Won-Dong Jang, Chang-Su Kim:
Semi-supervised Video Object Segmentation Using Multiple Random Walkers. - Suman Saha, Gurkirt Singh, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin:
Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos. - Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Clarence W. de Silva:
Exploiting Random RGB and Sparse Features for Camera Pose Estimation. - Erik Rodner, Marcel Simon, Robert B. Fisher, Joachim Denzler:
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches. - Fotios Logothetis, Roberto Mecca, Yvain Quéau, Roberto Cipolla:
Near-Field Photometric Stereo in Ambient Light.
3D Computer Vision
- Thanh-Tin Nguyen, Maxime Lhuillier:
Adding Synchronization and Rolling Shutter in Multi-Camera Bundle Adjustment. - Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
EMVS: Event-based Multi-View Stereo. - Bernhard Egger, Andreas Schneider, Clemens Blumer, Andreas Forster, Sandro Schönborn, Thomas Vetter:
Occlusion-aware 3D Morphable Face Models. - Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden:
Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors.
Motion and Tracking
- Berk Sevilmis, Benjamin B. Kimia:
Shape-based Image Correspondence. - Shane Griffith, Cédric Pradalier:
Reprojection Flow for Image Registration Across Seasons. - Dirk Klostermann, Aljosa Osep, Jörg Stückler, Bastian Leibe
:
Unsupervised Learning of Shape-Motion Patterns for Objects in Urban Street Scenes.
Keynote 2
- Raquel Urtasun:
Towards Affordable Self-driving Cars.
Statistical Methods and Learning
- Jiaqian Yu, Matthew B. Blaschko:
Efficient Learning for Discriminative Segmentation with Supermodular Losses. - Melih Kandemir, Manuel Haußmann, Ferran Diego, Kumar T. Rajamani, Jeroen van der Laak, Fred A. Hamprecht:
Variational Weakly Supervised Gaussian Processes.
Recognition and Physics-based vision
- Rui-Wei Zhao, Jianguo Li, Yurong Chen, Jia-Ming Liu, Yu-Gang Jiang, Xiangyang Xue:
Regional Gating Neural Networks for Multi-label Image Classification. - Jingjing Liu, Shaoting Zhang
Multispectral Deep Neural Networks for Pedestrian Detection. - Xiaobin Chang, Tao Xiang, Timothy M. Hospedales:
L1 Graph Based Sparse Model for Label De-noising. - Patrick Sudowe, Bastian Leibe
PatchIt: Self-Supervised Network Weight Initialization for Fine-grained Recognition. - Daniel Maurer, Yong Chul Ju, Michael Breuß, Andrés Bruhn:
Combining Shape from Shading and Stereo: A Variational Approach for the Joint Estimation of Depth, Illumination and Albedo.
Posters 2
- Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg:
Solving VIsual Madlibs with Multiple Cues. - Geng Yan, Yang Wang, Zicheng Liao:
LSTM for Image Annotation with Relative Visual Importance. - Martin Simonovsky, Nikos Komodakis:
OnionNet: Sharing Features in Cascaded Deep Classifiers. - Jesus Bermudez-Cameo, Cédric Demonceaux, Gonzalo López-Nicolás, José Jesús Guerrero:
Line reconstruction using prior knowledge in single non-central view. - Luwei Yang, Ligen Zhu, Yichen Wei, Shuang Liang, Ping Tan:
Attribute Recognition from Adaptive Parts. - Dan Liu, Mao Ye, Xudong Li, Feng Zhang, Lan Lin:
Memory-based Gait Recognition. - Jeong-Kyun Lee, Kuk-Jin Yoon:
Three-Point Direct Stereo Visual Odometry. - Li-Hsien Lu, Chiou-Ting Hsu:
Semantic Segmentation for Real-World Data by Jointly Exploiting Supervised and Transferrable Knowledge. - Chia-Yang Chang, Wei-Chih Tu, Shao-Yi Chien:
Optimized Regressor Forest for Image Super-Resolution. - Adrian Bulat, Yorgos Tzimiropoulos:
Convolutional aggregation of local evidence for large pose face alignment. - Sergey Zagoruyko, Nikos Komodakis:
Wide Residual Networks. - Alexander Kirillov, Mikhail Gavrikov, Ekaterina Lobacheva, Anton Osokin, Dmitry P. Vetrov:
Deep Part-Based Generative Shape Model with Latent Variables. - Joi San Tan, Ibrahim Venkat, Iman Yi Liao, Philippe De Wilde:
General Human Traits Oriented Generic Elastic Model for 3D Face Reconstruction. - Spyridon Gidaris, Nikos Komodakis:
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization. - Francisco Massa, Renaud Marlet, Mathieu Aubry:
Crafting a multi-task CNN for viewpoint estimation. - Alexander Kolesnikov, Christoph H. Lampert:
Improving Weakly-Supervised Object Localization By Micro-Annotation. - Ivan Bogun, Eraldo Ribeiro:
MBest Struct: M-Best diverse sampling for structured tracker. - Sajjad Seifozzakerini, Wei-Yun Yau, Bo Zhao, Kezhi Mao:
Event-Based Hough Transform in a Spiking Neural Network for Multiple Line Detection and Tracking Using a Dynamic Vision Sensor. - KangGeon Kim, Tadas Baltrusaitis, Amir Zadeh, Louis-Philippe Morency, Gérard G. Medioni:
Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection. - Yanming Guo, Michael S. Lew:
Bag of Surrogate Parts: one inherent feature of deep CNNs. - Kun Zhang, Danny Crookes, Jim Diamond, Minrui Fei, Jianguo Wu, Peijian Zhang, Huiyu Zhou:
Multi-scale Colorectal Tumour Segmentation Using a Novel Coarse to Fine Strategy. - Takumi Kobayashi:
Learning Additive Kernel For Feature Transformation and Its Application to CNN Features. - Yanan Miao, Xiaoming Tao, Jianhua Lu:
Robust 3D Car Shape Estimation from Landmarks in Monocular Image. - Wei Wang, Yan Yan, Feiping Nie, Xavier Alameda-Pineda, Shuicheng Yan, Nicu Sebe:
Projective Unsupervised Flexible Embedding with Optimal Graph. - Xu Jia, Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars:
Towards Automatic Image Editing: Learning to See another You. - Ana B. Cambra, Adolfo Muñoz, José Jesús Guerrero, Ana C. Murillo:
Dense Labeling with User Interaction: an Example for Depth-Of-Field Simulation. - Romain Negrel, Alexis Lechervy, Frédéric Jurie:
MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval. - Suraj Srinivas, Radhakrishnan Venkatesh Babu:
Learning Neural Network Architectures using Backpropagation. - Pierre Rolin, Marie-Odile Berger, Frédéric Sur:
Enhancing pose estimation through efficient patch synthesis. - Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Pérez, Patrick Bouthemy:
Discovering motion hierarchies via tree-structured coding of trajectories. - James Pritts
Coplanar Repeats by Energy Minimization. - Yifan Wang, Jie Song, Limin Wang, Luc Van Gool, Otmar Hilliges:
Two-Stream SR-CNNs for Action Recognition in Videos. - Umer Rafi, Bastian Leibe
An Efficient Convolutional Network for Human Pose Estimation. - Christoforos C. Charalambous, Anil A. Bharath:
A data augmentation methodology for training machine/deep learning gait recognition algorithms. - Mateusz Malinowski, Ashkan Mokarian, Mario Fritz:
Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. - Naser Damer, Kristiyan Dimitrov:
Practical View on Face Presentation Attack Detection. - Stefano Rosa, Giorgio Toscana:
Fast Feature-Less Quaternion-based Particle Swarm Optimization for Object Pose Estimation From RGB-D Images. - Michael Edwards, Xianghua Xie:
Graph Convolutional Neural Network. - David Novotný, Diane Larlus, Andrea Vedaldi:
I Have Seen Enough: Transferring Parts Across Categories. - Manuel Amthor, Erik Rodner, Joachim Denzler:
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets. - Xinrui Lyu, Joaquin Zepeda, Patrick Pérez:
Maximum Margin Linear Classifiers in Unions of Subspaces. - Dragos Costea, Marius Leordeanu:
Aerial image geolocalization from recognition and matching of roads and intersections. - Vassileios Balntas, Edgar Riba, Daniel Ponsa, Krystian Mikolajczyk:
Learning local feature descriptors with triplets and shallow convolutional neural networks. - Giorgio Roffo, Simone Melzi:
Online Feature Selection for Visual Tracking. - Takahiko Furuya, Ryutarou Ohbuchi:
Deep Aggregation of Local 3D Geometric Features for 3D Model Retrieval. - Samuel Albanie, Andrea Vedaldi:
Learning Grimaces by Watching TV. - Yuan-Cheng Lee, Jiancong Chen, Ching Wei Tseng, Shang-Hong Lai:
Accurate and robust face recognition from RGB-D images with a deep learning approach. - Vladimir Nekrasov, Janghoon Ju, Jaesik Choi:
Global Deconvolutional Networks for Semantic Segmentation. - He Zhang, Vishal M. Patel:
Convolutional Sparse Coding-based Image Decomposition. - Mahdi Abavisani, Vishal Patel:
Domain Adaptive Subspace Clustering. - Charbel Azzi, Daniel C. Asmar, Adel H. Fakih, John S. Zelek:
Filtering 3D Keypoints Using GIST For Accurate Image-Based Localization. - Ryan W. Wolcott, Ryan Eustice:
Probabilistic Obstacle Partitioning of Monocular Video for Autonomous Vehicles. - Xi Peng, Qiong Hu, Junzhou Huang, Dimitris N. Metaxas:
Track Facial Points in Unconstrained Videos.
Recognition
- Bugra Tekin, Isinsu Katircioglu, Mathieu Salzmann, Vincent Lepetit, Pascal Fua:
Structured Prediction of 3D Human Pose with Deep Neural Networks. - Yuhang He, Long Chen, Jianda Chen:
Multi-task Relative Attribute Prediction by Incorporating Local Context and Global Style Information. - Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Xiang Ruan:
Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval. - Ruichi Yu, Xi Chen, Vlad I. Morariu, Larry S. Davis:
The Role of Context Selection in Object Detection.
Face and Gesture
- Hanxiao Wang, Shaogang Gong, Tao Xiang:
Highly Efficient Regression for Scalable Person Re-Identification. - Xuhui Jia, Heng Yang, Xiaolong Zhu, Zhanghui Kuang, Yifeng Niu, Kwok-Ping Chan:
Reflective Regression of 2D-3D Face Shape Across Large Pose. - Oscar Koller, Sepehr Zargaran, Hermann Ney, Richard Bowden:
Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition.
Recognition, Optimisation and Performance Evaluation
- Alhussein Fawzi, Pascal Frossard:
Measuring the effect of nuisance variables on classifiers. - Elyor Kodirov, Tao Xiang, Zhenyong Fu, Shaogang Gong:
Learning Robust Graph Regularisation for Subspace Clustering. - Rui Yu, Chris Russell, Lourdes Agapito:
Solving Jigsaw Puzzles with Linear Programming. - ObaidUllah Khalid, Andrea Cavallaro, Bernhard Rinner:
Detecting tracking errors via forecasting. - Li Yao, Nicolas Ballas, Kyunghyun Cho, John R. Smith, Yoshua Bengio:
Oracle Performance for Visual Captioning.
Video events, robot vision and deep learning
- Farnoosh Heidarivincheh, Majid Mirmehdi, Dima Damen:
Beyond Action Recognition: Action Completion in RGB-D Data. - Spencer Cappallo, Thomas Mensink, Cees Snoek:
Video Stream Retrieval of Unseen Queries using Semantic Memory. - David L. Richmond, Dagmar Kainmueller, Michael Ying Yang, Eugene W. Myers, Carsten Rother:
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation. - James Thewlis, Shuai Zheng, Philip H. S. Torr, Andrea Vedaldi:
Fully-trainable deep matching. - Fabio Poiesi, Andrea Cavallaro:
Detection of fast incoming objects with a moving camera.
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