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Pattern Recognition and Computer Vision

6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part IV

  • Conference proceedings
  • © 2024

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Editors:
  1. Qingshan Liu

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

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  2. Hanzi Wang

    1. Xiamen University, Xiamen, China

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  3. Zhanyu Ma

    1. Beijing University of Posts and Telecommunications, Beijing, China

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  4. Weishi Zheng

    1. Sun Yat-sen University, Guangzhou, China

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  5. Hongbin Zha

    1. Peking University, Beijing, China

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  6. Xilin Chen

    1. Chinese Academy of Sciences, Beijing, China

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  7. Liang Wang

    1. Chinese Academy of Sciences, Beijing, China

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  8. Rongrong Ji

    1. Xiamen University, Xiamen, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14428)

Included in the following conference series:

Conference proceedings info: PRCV 2023.

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Table of contents (40 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Pattern Classification and Cluster Analysis

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Shared Nearest Neighbor Calibration for Few-Shot Classification

      • Rundong Qi, Sa Ning, Yong Jiang, Yuwei Zhang, Wenyu Yang
      Pages 3-14

    3. Prototype Rectification with Region-Wise Foreground Enhancement for Few-Shot Classification

      • Rundong Qi, Sa Ning, Yong Jiang
      Pages 15-26

    4. Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis

      • Xiuwei Chen, Xiaobin Chang
      Pages 27-38

    5. Nonconvex Tensor Hypergraph Learning for Multi-view Subspace Clustering

      • Xue Yao, Min Li
      Pages 39-51

    6. A Novel Method for Identifying Bipolar Disorder Based on Diagnostic Texts

      • Hua Gao, Li Chen, Yi Zhou, Kaikai Chi, Sixian Chan
      Pages 52-63

    7. Deep Depression Detection Based on Feature Fusion and Result Fusion

      • Hua Gao, Yi Zhou, Li Chen, Kaikai Chi
      Pages 64-74

    8. Adaptive Cluster Assignment for Unsupervised Semantic Segmentation

      • Shengqi Li, Qing Liu, Chaojun Zhang, Yixiong Liang
      Pages 75-86

    9. Confidence-Guided Open-World Semi-supervised Learning

      • Jibang Li, Meng Yang, Mao Feng
      Pages 87-99

    10. SSCL: Semi-supervised Contrastive Learning for Industrial Anomaly Detection

      • Wei Cai, Jiechao Gao
      Pages 100-112

    11. One Step Large-Scale Multi-view Subspace Clustering Based on Orthogonal Matrix Factorization with Consensus Graph Learning

      • Xinrui Zhang, Kai Li, Jinjia Peng
      Pages 113-125

    12. Deep Multi-task Image Clustering with Attention-Guided Patch Filtering and Correlation Mining

      • Zhongyao Tian, Kai Li, Jinjia Peng
      Pages 126-138

    13. Deep Structure and Attention Aware Subspace Clustering

      • Wenhao Wu, Weiwei Wang, Shengjiang Kong
      Pages 139-150

    14. Broaden Your Positives: A General Rectification Approach for Novel Class Discovery

      • Yaqi Cai, Nan Pu, Qi Jia, Weimin Wang, Yu Liu
      Pages 151-162

    15. CE\(^2\): A Copula Entropic Mutual Information Estimator for Enhancing Adversarial Robustness

      • Lin Liu, Cong Hu, Xiao-Jun Wu
      Pages 163-174

    16. Two-Step Projection of Sparse Discrimination Between Classes for Unsupervised Domain Adaptation

      • Jianhong Xie, Lu Liang
      Pages 175-186

    17. Enhancing Adversarial Robustness via Stochastic Robust Framework

      • Zhenjiang Sun, Yuanbo Li, Cong Hu
      Pages 187-198

    18. Pseudo Labels Refinement with Stable Cluster Reconstruction for Unsupervised Re-identification

      • Zhenyu Liu, Jiawei Lian, Jiahua Wu, Da-Han Wang, Yun Wu, Shunzhi Zhu et al.
      Pages 199-211

    19. Ranking Variance Reduced Ensemble Attack with Dual Optimization Surrogate Search

      • Zhichao He, Cong Hu
      Pages 212-223
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Keywords

About this book

The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023.


The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis

Editors and Affiliations

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

    Qingshan Liu

  • Xiamen University, Xiamen, China

    Hanzi Wang, Rongrong Ji

  • Beijing University of Posts and Telecommunications, Beijing, China

    Zhanyu Ma

  • Sun Yat-sen University, Guangzhou, China

    Weishi Zheng

  • Peking University, Beijing, China

    Hongbin Zha

  • Chinese Academy of Sciences, Beijing, China

    Xilin Chen, Liang Wang

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