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Pattern Recognition and Computer Vision

Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part III

  • Conference proceedings
  • © 2020

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Editors:
  1. Yuxin Peng

    1. Peking University, Beijing, China

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  2. Qingshan Liu

    1. Nanjing University of Information Science and Technology, Nanjing, China

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  3. Huchuan Lu

    1. Dalian University of Technology, Dalian, China

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  4. Zhenan Sun

    1. Chinese Academy of Sciences, Beijing, China

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  5. Chenglin Liu

    1. Chinese Academy of Sciences, Beijing, China

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  6. Xilin Chen

    1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

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  7. Hongbin Zha

    1. Peking University, Beijing, China

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  8. Jian Yang

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

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12307)

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 2020.

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Table of contents (40 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Machine Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Federated Generative Adversarial Learning

      • Chenyou Fan, Ping Liu
      Pages 3-15

    3. Learning Diverse Features with Part-Level Resolution for Person Re-identification

      • Ben Xie, Xiaofu Wu, Suofei Zhang, Shiliang Zhao, Ming Li
      Pages 16-28

    4. Open Set Domain Adaptation with Entropy Minimization

      • Xiaofu Wu, Lei Cheng, Suofei Zhang
      Pages 29-41

    5. An Adversarial Learned Trajectory Predictor with Knowledge-Rich Latent Variables

      • Caizhen He, Biao Yang, Lanping Chen, Guocheng Yan
      Pages 42-53

    6. Top-Down Fusing Multi-level Contextual Features for Salient Object Detection

      • Mingyuan Pan, Huihui Song, Junxia Li, Kaihua Zhang, Qingshan Liu
      Pages 54-65

    7. Path Aggregation and Dual Supervision Network for Scene Text Detection

      • Shuyang Feng, Na Zhang, Cairong Zhao
      Pages 66-77

    8. Semantic Inpainting with Multi-dimensional Adversarial Network and Wasserstein Distance

      • Haodi Wang, Libin Jiao, Rongfang Bie, Hao Wu
      Pages 78-88

    9. Interpretable Neural Computation for Real-World Compositional Visual Question Answering

      • Ruixue Tang, Chao Ma
      Pages 89-101

    10. Attention-Based Network for Semantic Image Segmentation via Adversarial Learning

      • Xinnan Ding, Ying Tian, Chenhui Wang, Yilong Li, Haodong Yang, Kejun Wang
      Pages 102-114

    11. Efficient Single Shot Object Detector Towards More Accurate and Faster Prediction

      • Shengxiang Qi, Jiarong Yang
      Pages 115-124

    12. Student Performance Prediction Based on Multi-view Network Embedding

      • Jianian Li, Yanwei Yu, Yunhong Lu, Peng Song
      Pages 125-136

    13. Hierarchical Matching and Reasoning for Action Localization via Language Query

      • Tianyu Li, Xinxiao Wu
      Pages 137-148

    14. Semi-supervised Uncertain Linear Discriminant Analysis

      • Guowan Shao, Fanmao Liu, Chunjiang Peng
      Pages 149-160

    15. Adaptive Attributed Network Embedding for Community Detection

      • Mengqing Luo, Hui Yan
      Pages 161-172

    16. Single-View 3D Shape Reconstruction with Learned Gradient Descent

      • Guanglun Zhang, Lu Yang
      Pages 173-184

    17. Joint Self-expression with Adaptive Graph for Unsupervised Feature Selection

      • Aihong Yuan, Xiaoyu Gao, Mengbo You, Dongjian He
      Pages 185-196

    18. Fast Hyper-walk Gridded Convolution on Graph

      • Xiaobin Hong, Tong Zhang, Zhen Cui, Chunyan Xu, Liangfang Zhang, Jian Yang
      Pages 197-208

    19. UDenseNet: A Universal Dense Convolutional Network for Image Recognition

      • Liang Wang, Changshuang Zhao, Ling Shao, Yihong Wu
      Pages 209-221
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Other volumes

  1. Pattern Recognition and Computer Vision

  2. Pattern Recognition and Computer Vision

  3. Pattern Recognition and Computer Vision

Keywords

About this book

The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020.

The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.

Editors and Affiliations

  • Peking University, Beijing, China

    Yuxin Peng, Hongbin Zha

  • Nanjing University of Information Science and Technology, Nanjing, China

    Qingshan Liu

  • Dalian University of Technology, Dalian, China

    Huchuan Lu

  • Chinese Academy of Sciences, Beijing, China

    Zhenan Sun, Chenglin Liu

  • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Xilin Chen

  • Nanjing University of Science and Technology, Nanjing, China

    Jian Yang

Bibliographic Information

  • Book Title: Pattern Recognition and Computer Vision

  • Book Subtitle: Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part III

  • Editors: Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, … Jian Yang

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-60636-7

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-60635-0Published: 13 October 2020

  • eBook ISBN: 978-3-030-60636-7Published: 12 October 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 501

  • Number of Illustrations: 77 b/w illustrations, 154 illustrations in colour

  • Topics: Image Processing and Computer Vision

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