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Computer Vision – ECCV 2022

17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXIX

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Shai Avidan

    1. Tel Aviv University, Tel Aviv, Israel

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  2. Gabriel Brostow

    1. University College London, London, UK

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  3. Moustapha Cissé

    1. Google AI, Accra, Ghana

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  4. Giovanni Maria Farinella

    1. University of Catania, Catania, Italy

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  5. Tal Hassner

    1. Facebook (United States), Menlo Park, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13689)

Included in the following conference series:

Conference proceedings info: ECCV 2022.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-lvi
    Download chapter PDF

  2. Box-Supervised Instance Segmentation with Level Set Evolution

    • Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Xian-Sheng Hua, Lei Zhang
    Pages 1-18

  3. Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding

    • Hao Wen, Yunze Liu, Jingwei Huang, Bo Duan, Li Yi
    Pages 19-35

  4. Adaptive Agent Transformer for Few-Shot Segmentation

    • Yuan Wang, Rui Sun, Zhe Zhang, Tianzhu Zhang
    Pages 36-52

  5. Waymo Open Dataset: Panoramic Video Panoptic Segmentation

    • Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen et al.
    Pages 53-72

  6. TransFGU: A Top-Down Approach to Fine-Grained Unsupervised Semantic Segmentation

    • Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li et al.
    Pages 73-89

  7. AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions

    • Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas et al.
    Pages 90-107

  8. Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

    • Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim
    Pages 108-126

  9. Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications

    • Lingzhi Zhang, Shenghao Zhou, Simon Stent, Jianbo Shi
    Pages 127-145

  10. Perceptual Artifacts Localization for Inpainting

    • Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman et al.
    Pages 146-164

  11. 2D Amodal Instance Segmentation Guided by 3D Shape Prior

    • Zhixuan Li, Weining Ye, Tingting Jiang, Tiejun Huang
    Pages 165-181

  12. Data Efficient 3D Learner via Knowledge Transferred from 2D Model

    • Ping-Chung Yu, Cheng Sun, Min Sun
    Pages 182-198

  13. Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation

    • Tong Wu, Guangyu Gao, Junshi Huang, Xiaolin Wei, Xiaoming Wei, Chi Harold Liu
    Pages 199-216

  14. Dense Gaussian Processes for Few-Shot Segmentation

    • Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan
    Pages 217-234

  15. 3D Instances as 1D Kernels

    • Yizheng Wu, Min Shi, Shuaiyuan Du, Hao Lu, Zhiguo Cao, Weicai Zhong
    Pages 235-252

  16. TransMatting: Enhancing Transparent Objects Matting with Transformers

    • Huanqia Cai, Fanglei Xue, Lele Xu, Lili Guo
    Pages 253-269

  17. MVSalNet: Multi-view Augmentation for RGB-D Salient Object Detection

    • Jiayuan Zhou, Lijun Wang, Huchuan Lu, Kaining Huang, Xinchu Shi, Bocong Liu
    Pages 270-287

  18. k-means Mask Transformer

    • Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell Collins, Yukun Zhu, Hartwig Adam et al.
    Pages 288-307

  19. SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness

    • Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
    Pages 308-325

  20. Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation

    • Sung-Hoon Yoon, Hyeokjun Kweon, Jegyeong Cho, Shinjeong Kim, Kuk-Jin Yoon
    Pages 326-344
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Keywords

About this book

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022.

 

The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.


Editors and Affiliations

  • Tel Aviv University, Tel Aviv, Israel

    Shai Avidan

  • University College London, London, UK

    Gabriel Brostow

  • Google AI, Accra, Ghana

    Moustapha Cissé

  • University of Catania, Catania, Italy

    Giovanni Maria Farinella

  • Facebook (United States), Menlo Park, USA

    Tal Hassner

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