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Computer Vision – ACCV 2022

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

  • Conference proceedings
  • © 2023

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Editors:
  1. Lei Wang

    1. University of Wollongong, Wollongong, Australia

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  2. Juergen Gall

    1. University of Bonn, Bonn, Germany

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  3. Tat-Jun Chin

    1. University of Adelaide, Adelaide, Australia

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  4. Imari Sato

    1. National Institute of Informatics, Tokyo, Japan

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  5. Rama Chellappa

    1. Johns Hopkins University, Baltimore, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13847)

Included in the following conference series:

Conference proceedings info: ACCV 2022.

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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.

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Keywords

Table of contents (41 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  2. Generative Models for Computer Vision

    1. Front Matter

      Pages 1-1
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    2. DAC-GAN: Dual Auxiliary Consistency Generative Adversarial Network for Text-to-Image Generation

      • Zhiwei Wang, Jing Yang, Jiajun Cui, Jiawei Liu, Jiahao Wang
      Pages 3-19

    3. Learning Internal Semantics with Expanded Categories for Generative Zero-Shot Learning

      • Xiaojie Zhao, Shidong Wang, Haofeng Zhang
      Pages 20-36

    4. ADEL: Adaptive Distribution Effective-Matching Method for Guiding Generators of GANs

      • Jungeun Kim, Jeongeun Park, Ha Young Kim
      Pages 37-53

    5. A Diffusion-ReFinement Model for Sketch-to-Point Modeling

      • Di Kong, Qiang Wang, Yonggang Qi
      Pages 54-70

    6. TeCM-CLIP: Text-Based Controllable Multi-attribute Face Image Manipulation

      • Xudong Lou, Yiguang Liu, Xuwei Li
      Pages 71-87

    7. Gated Cross Word-Visual Attention-Driven Generative Adversarial Networks for Text-to-Image Synthesis

      • Borun Lai, Lihong Ma, Jing Tian
      Pages 88-100

    8. End-to-End Surface Reconstruction for Touching Trajectories

      • Jiarui Liu, Yuanpei Zhang, Zhuojun Zou, Jie Hao
      Pages 101-116

    9. Conditional GAN for Point Cloud Generation

      • Zhulun Yang, Yijun Chen, Xianwei Zheng, Yadong Chang, Xutao Li
      Pages 117-133

    10. Progressive Attentional Manifold Alignment for Arbitrary Style Transfer

      • Xuan Luo, Zhen Han, Linkang Yang
      Pages 134-150

    11. Exp-GAN: 3D-Aware Facial Image Generation with Expression Control

      • Yeonkyeong Lee, Taeho Choi, Hyunsung Go, Hyunjoon Lee, Sunghyun Cho, Junho Kim
      Pages 151-167

    12. DHG-GAN: Diverse Image Outpainting via Decoupled High Frequency Semantics

      • Yiwen Xu, Maurice Pagnucco, Yang Song
      Pages 168-184

    13. MUSH: Multi-scale Hierarchical Feature Extraction for Semantic Image Synthesis

      • Zicong Wang, Qiang Ren, Junli Wang, Chungang Yan, Changjun Jiang
      Pages 185-201

    14. SAC-GAN: Face Image Inpainting with Spatial-Aware Attribute Controllable GAN

      • Dongmin Cha, Taehun Kim, Joonyeong Lee, Dajin Kim
      Pages 202-218

    15. Diffusion Models for Counterfactual Explanations

      • Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
      Pages 219-237

    16. Style Image Harmonization via Global-Local Style Mutual Guided

      • Xiao Yan, Yang Lu, Juncheng Shuai, Sanyuan Zhang
      Pages 238-254

  3. Segmentation and Grouping

    1. Front Matter

      Pages 255-255
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    2. Revisiting Image Pyramid Structure for High Resolution Salient Object Detection

      • Taehun Kim, Kunhee Kim, Joonyeong Lee, Dongmin Cha, Jiho Lee, Daijin Kim
      Pages 257-273

    3. BOREx: Bayesian-Optimization-Based Refinement of Saliency Map for Image- and Video-Classification Models

      • Atsushi Kikuchi, Kotaro Uchida, Masaki Waga, Kohei Suenaga
      Pages 274-290
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Other volumes

  1. Computer Vision – ACCV 2022

  2. Computer Vision – ACCV 2022

  3. Computer Vision – ACCV 2022

  4. Computer Vision – ACCV 2022

  5. Computer Vision – ACCV 2022

  6. Computer Vision – ACCV 2022

  7. Computer Vision – ACCV 2022

  8. Computer Vision – ACCV 2022 Workshops

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

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