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Pattern Recognition and Computer Vision

4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part I

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Huimin Ma

    1. University of Science and Technology Beijing, Beijing, China

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  2. Liang Wang

    1. Chinese Academy of Sciences, Beijing, China

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  3. Changshui Zhang

    1. Tsinghua University, Beijing, China

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  4. Fei Wu

    1. Zhejiang University, Hangzhou, China

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  5. Tieniu Tan

    1. Chinese Academy of Sciences, Beijing, China

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  6. Yaonan Wang

    1. Hunan University, Changsha, China

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  7. Jianhuang Lai

    1. Sun Yat-Sen University, Guangzhou, China

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  8. Yao Zhao

    1. Beijing Jiaotong University, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13019)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: PRCV 2021.

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About this book

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021.

The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.


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Table of contents (49 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Object Detection, Tracking and Recognition

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. High-Performance Discriminative Tracking with Target-Aware Feature Embeddings

      • Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang, Hanqing Lu
      Pages 3-15

    3. 3D Multi-object Detection and Tracking with Sparse Stationary LiDAR

      • Meng Zhang, Zhiyu Pan, Jianjiang Feng, Jie Zhou
      Pages 16-28

    4. CRNet: Centroid Radiation Network for Temporal Action Localization

      • Xinpeng Ding, Nannan Wang, Jie Li, Xinbo Gao
      Pages 29-41

    5. Weakly Supervised Temporal Action Localization with Segment-Level Labels

      • Xinpeng Ding, Nannan Wang, Jie Li, Xinbo Gao
      Pages 42-54

    6. Locality-Constrained Collaborative Representation with Multi-resolution Dictionary for Face Recognition

      • Zhen Liu, Xiao-Jun Wu, Hefeng Yin, Tianyang Xu, Zhenqiu Shu
      Pages 55-66

    7. Fast and Fusion: Real-Time Pedestrian Detector Boosted by Body-Head Fusion

      • Jie Huang, Xiaoling Gu, Xun Liu, Pai Peng
      Pages 67-79

    8. STA-GCN: Spatio-Temporal AU Graph Convolution Network for Facial Micro-expression Recognition

      • Xinhui Zhao, Huimin Ma, Rongquan Wang
      Pages 80-91

    9. Attentive Contrast Learning Network for Fine-Grained Classification

      • Fangrui Liu, Zihao Liu, Zheng Liu
      Pages 92-104

    10. Relation-Based Knowledge Distillation for Anomaly Detection

      • Hekai Cheng, Lu Yang, Zulong Liu
      Pages 105-116

    11. High Power-Efficient and Performance-Density FPGA Accelerator for CNN-Based Object Detection

      • Gang Zhang, Chaofan Zhang, Fan Wang, Fulin Tang, Yihong Wu, Xuezhi Yang et al.
      Pages 117-128

    12. Relation-Guided Actor Attention for Group Activity Recognition

      • Lifang Wu, Qi Wang, Zeyu Li, Ye Xiang, Xianglong Lang
      Pages 129-141

    13. MVAD-Net: Learning View-Aware and Domain-Invariant Representation for Baggage Re-identification

      • Qing Zhao, Huimin Ma, Ruiqi Lu, Yanxian Chen, Dong Li
      Pages 142-153

    14. Joint Attention Mechanism for Unsupervised Video Object Segmentation

      • Rui Yao, Xin Xu, Yong Zhou, Jiaqi Zhao, Liang Fang
      Pages 154-165

    15. Foreground Feature Selection and Alignment for Adaptive Object Detection

      • Zixuan Huang, Huicheng Zheng, Manwei Chen
      Pages 166-178

    16. Exploring Category-Shared and Category-Specific Features for Fine-Grained Image Classification

      • Haoyu Wang, DongLiang Chang, Weidong Liu, Bo Xiao, Zhanyu Ma, Jun Guo et al.
      Pages 179-190

    17. Deep Mixture of Adversarial Autoencoders Clustering Network

      • Aofu Liu, Zexuan Ji
      Pages 191-202

    18. SA-InterNet: Scale-Aware Interaction Network for Joint Crowd Counting and Localization

      • Xiuqi Chen, Xiao Yu, Huijun Di, Shunzhou Wang
      Pages 203-215

    19. Conditioners for Adaptive Regression Tracking

      • Ding Ma, Xiangqian Wu
      Pages 216-228
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Other volumes

  1. Pattern Recognition and Computer Vision

  2. Pattern Recognition and Computer Vision

  3. Pattern Recognition and Computer Vision

  4. Pattern Recognition and Computer Vision

Editors and Affiliations

  • University of Science and Technology Beijing, Beijing, China

    Huimin Ma

  • Chinese Academy of Sciences, Beijing, China

    Liang Wang, Tieniu Tan

  • Tsinghua University, Beijing, China

    Changshui Zhang

  • Zhejiang University, Hangzhou, China

    Fei Wu

  • Hunan University, Changsha, China

    Yaonan Wang

  • Sun Yat-Sen University, Guangzhou, China

    Jianhuang Lai

  • Beijing Jiaotong University, Beijing, China

    Yao Zhao

Bibliographic Information

  • Book Title: Pattern Recognition and Computer Vision

  • Book Subtitle: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part I

  • Editors: Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, … Yao Zhao

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-88004-0

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-88003-3Published: 08 October 2021

  • eBook ISBN: 978-3-030-88004-0Published: 22 October 2021

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIX, 617

  • Number of Illustrations: 11 b/w illustrations, 208 illustrations in colour

  • Topics: Image Processing and Computer Vision

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