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Neural Information Processing

31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part VIII

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Mufti Mahmud

    1. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

  2. Maryam Doborjeh

    1. Auckland University of Technology, Auckland, New Zealand

  3. Kevin Wong

    1. Murdoch University, Murdoch, Australia

  4. Andrew Chi Sing Leung

    1. City University of Hong Kong, Kowloon, Hong Kong

  5. Zohreh Doborjeh

    1. Auckland University of Technology, Auckland, New Zealand

  6. M. Tanveer

    1. Indian Institute of Technology Indore, Indore, India

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15293)

Included in the following conference series:

Conference proceedings info: ICONIP 2024.

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About this book

The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xxxiii
    Download chapter PDF

  2. Generalized Multi-scale Separable EPI Information for Light Field Image Super-Resolution

    • Yiming Kan, Wentao Chao, Junli Zhao, Liang Wang, Fuqing Duan
    Pages 1-15

  3. ForgeryGPT: Cross-Domain Face Forgery Detection Using Large Vision-Language Models

    • Wuti Xiong, Valentina Kuklina
    Pages 16-30

  4. MFCA: Multimodal Object Detection Based on Feature Calibration and Aggregation

    • Hao Tian, Jie Lei, Guoyu Yang, Jiaqi Wu, Yilong Zhang, Zunlei Feng et al.
    Pages 31-45

  5. Omnidirectional Linear Attention Module for Penalty Shootout Video Understanding

    • Bowen You, Sheng Zhang, Yaping Yang
    Pages 46-62

  6. UOA-RCNN: Detect Anything with Unknown Object Aware RCNN

    • Haomiao Liu, Hao Xu, Chuhuai Yue, Bo Ma
    Pages 63-77

  7. WOODWIND: Few-Shot Object Detector with Knowledge Distillation

    • Mengyuan Ma
    Pages 78-91

  8. LITE: A Paradigm Shift in Multi-object Tracking with Efficient ReID Feature Integration

    • Jumabek Alikhanov, Dilshod Obidov, Hakil Kim
    Pages 92-106

  9. LSReGen: Large-Scale Regional Generator via Backward Guidance Framework

    • Bowen Zhang, Cheng Yang, Xuanhui Liu
    Pages 107-122

  10. AAFE-Net: Agent-Based Adaptive Feature Enhanced Network for Leather Defect Detection

    • Haoze Fan, Guobin Zhang, Zhaojing Wang, Li Li
    Pages 123-137

  11. AA-RPN: Adaptive Anchor-Based Region Proposal Network for Remote Sensing Object Detection

    • Shuishui Cheng, Qingxuan Shi, Nick Jin Sean Lim, Albert Bifet
    Pages 138-152

  12. Asterisk Sparse Convolutional Networks for 3D Object Detection

    • Cheng Lu, Chao Yang, Jianmei Su, Yi He, Yong Jiang
    Pages 153-164

  13. Shifted Window Fourier Transform and Retention for Image Captioning

    • Jia Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi
    Pages 165-179

  14. FOPS-V: Feature-Aware Optimization and Parallel Scale Fusion for 3D Human Reconstruction in Video

    • Yang Huang, Guoheng Huang, Lianglun Cheng, Yejing Huo, Xuhang Chen, Xiaochen Yuan et al.
    Pages 180-194

  15. PEBTrack: A Performance-Efficiency Balance Tracker for Aerial Scenario

    • Xuesen Ma, Xiuxuan Yu, Xinghao Peng
    Pages 195-209

  16. Multi-scale Spatial-Angular Information Aggregation Network for Image Semantic Segmentation

    • Yiming Li, Ruixuan Cong, Sizhe Wang, Jiahao Shen, Hao Sheng
    Pages 210-224

  17. Enhancing Semi-supervised Medical Image Segmentation with Asymmetric and Adversarial Cooperative Training

    • Xiaolin Huang, Binzhi Chen, Jiacheng Chen, Jingchun Lin, Ruihua Nie, Jun Liang
    Pages 225-239

  18. Face Super-Resolution Using Covariation-Guided Orthonormalized Partial Least Squares

    • Mingzhi Hao, Yun-Hao Yuan, Jipeng Qiang, Yi Zhu, Yun Li, Runmei Zhang
    Pages 240-252

  19. SegDaemon: Actively Protecting Semantic Segmentation Models Against Intellectual Property Infringement

    • Ge Ren, Gaolei Li, Bo Zhang, Xiaoyang Jiang, Shiyong Qiu, Liangjie Liu et al.
    Pages 253-268

  20. Contrastive Diffusion Generative Adversarial Network for Generalized Zero-Shot Learning

    • Zhuoer Zhang, Kezhen Qiu, Yijie Wang, Mingjian Hong, Li You, Sheng Huang
    Pages 269-282
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Other volumes

  1. Neural Information Processing

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  27. Neural Information Processing

Editors and Affiliations

  • King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    Mufti Mahmud

  • Auckland University of Technology, Auckland, New Zealand

    Maryam Doborjeh, Zohreh Doborjeh

  • Murdoch University, Murdoch, Australia

    Kevin Wong

  • City University of Hong Kong, Kowloon, Hong Kong

    Andrew Chi Sing Leung

  • Indian Institute of Technology Indore, Indore, India

    M. Tanveer

Accessibility Information

PDF accessibility summary

This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

EPUB accessibility summary

This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.0 Level AA standards. Its features include described images and other non-text content, screenreader-friendly navigation and accessible math. Math is represented either as MathML, LaTeX or in images. If math is represented as image, Alt Text might not be present. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

Bibliographic Information

  • Book Title: Neural Information Processing

  • Book Subtitle: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part VIII

  • Editors: Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-981-96-6596-9

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025

  • Softcover ISBN: 978-981-96-6598-3Published: 08 June 2025

  • eBook ISBN: 978-981-96-6596-9Published: 07 June 2025

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXXIII, 459

  • Number of Illustrations: 3 b/w illustrations, 161 illustrations in colour

  • Topics: Data Mining and Knowledge Discovery, Machine Learning, Pattern Recognition

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