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  • © 2023

Computer Vision – ACCV 2022

16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part V

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13845)

Conference series link(s): ACCV: Asian Conference on Computer Vision

Conference proceedings info: ACCV 2022.

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Table of contents (30 papers)

  1. Front Matter

    Pages i-xxii
  2. Recognition: Feature Detection, Indexing, Matching, and Shape Representation

    1. Front Matter

      Pages 1-1
    2. Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer

      • Hongguang Zhang, Philip H. S. Torr, Piotr Koniusz
      Pages 3-20
    3. AONet: Attentional Occlusion-Aware Network for Occluded Person Re-identification

      • Guangyu Gao, Qianxiang Wang, Jing Ge, Yan Zhang
      Pages 21-36
    4. FFD Augmentor: Towards Few-Shot Oracle Character Recognition from Scratch

      • Xinyi Zhao, Siyuan Liu, Yikai Wang, Yanwei Fu
      Pages 37-53
    5. Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval

      • Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho
      Pages 54-70
    6. 3D Shape Temporal Aggregation for Video-Based Clothing-Change Person Re-identification

      • Ke Han, Yan Huang, Shaogang Gong, Yan Huang, Liang Wang, Tieniu Tan
      Pages 71-88
    7. Robustizing Object Detection Networks Using Augmented Feature Pooling

      • Takashi Shibata, Masayuki Tanaka, Masatoshi Okutomi
      Pages 89-106
    8. IoU-Enhanced Attention for End-to-End Task Specific Object Detection

      • Jing Zhao, Shengjian Wu, Li Sun, Qingli Li
      Pages 124-141
    9. HAZE-Net: High-Frequency Attentive Super-Resolved Gaze Estimation in Low-Resolution Face Images

      • Jun-Seok Yun, Youngju Na, Hee Hyeon Kim, Hyung-Il Kim, Seok Bong Yoo
      Pages 142-160
    10. LatentGaze: Cross-Domain Gaze Estimation Through Gaze-Aware Analytic Latent Code Manipulation

      • Isack Lee, Jun-Seok Yun, Hee Hyeon Kim, Youngju Na, Seok Bong Yoo
      Pages 161-178
    11. Cross-Architecture Knowledge Distillation

      • Yufan Liu, Jiajiong Cao, Bing Li, Weiming Hu, Jingting Ding, Liang Li
      Pages 179-195
    12. Cross-Domain Local Characteristic Enhanced Deepfake Video Detection

      • Zihan Liu, Hanyi Wang, Shilin Wang
      Pages 196-214
    13. PS-ARM: An End-to-End Attention-Aware Relation Mixer Network for Person Search

      • Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Muhammad Anwer, Fahad Shahbaz Khan
      Pages 234-250
    14. Weighted Contrastive Hashing

      • Jiaguo Yu, Huming Qiu, Dubing Chen, Haofeng Zhang
      Pages 251-266
    15. Content-Aware Hierarchical Representation Selection for Cross-View Geo-Localization

      • Zeng Lu, Tao Pu, Tianshui Chen, Liang Lin
      Pages 267-280
    16. CLUE: Consolidating Learned and Undergoing Experience in Domain-Incremental Classification

      • Chengyi Cai, Jiaxin Liu, Wendi Yu, Yuchen Guo
      Pages 281-296
    17. Continuous Self-study: Scene Graph Generation with Self-knowledge Distillation and Spatial Augmentation

      • Yuan Lv, Yajing Xu, Shusen Wang, Yingjian Ma, Dengke Wang
      Pages 297-315

About this book

The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022.

The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics:

Part I: 3D computer vision; optimization methods;

Part II: applications of computer vision, vision for X; computational photography, sensing, and display;

Part III: low-level vision, image processing;

Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics;

Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis;

Part VI: biomedical image analysis; deep learning for computer vision;

Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods.

Editors and Affiliations

  • University of Wollongong, Wollongong, Australia

    Lei Wang

  • University of Bonn, Bonn, Germany

    Juergen Gall

  • University of Adelaide, Adelaide, Australia

    Tat-Jun Chin

  • National Institute of Informatics, Tokyo, Japan

    Imari Sato

  • Johns Hopkins University, Baltimore, USA

    Rama Chellappa

Bibliographic Information

Buy it now

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access