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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 29
- Shai Avidan, Gabriel J. Brostow
, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXIX. Lecture Notes in Computer Science 13689, Springer 2022, ISBN 978-3-031-19817-5 - Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Xian-Sheng Hua, Lei Zhang:
Box-Supervised Instance Segmentation with Level Set Evolution. 1-18 - Hao Wen, Yunze Liu, Jingwei Huang, Bo Duan, Li Yi:
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding. 19-35 - Yuan Wang, Rui Sun, Zhe Zhang, Tianzhu Zhang:
Adaptive Agent Transformer for Few-Shot Segmentation. 36-52 - Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen, Henrik Kretzschmar:
Waymo Open Dataset: Panoramic Video Panoptic Segmentation. 53-72 - Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin:
TransFGU: A Top-Down Approach to Fine-Grained Unsupervised Semantic Segmentation. 73-89 - Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong:
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions. 90-107 - Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim:
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. 108-126 - Lingzhi Zhang, Shenghao Zhou, Simon Stent, Jianbo Shi:
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications. 127-145 - Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi:
Perceptual Artifacts Localization for Inpainting. 146-164 - Zhixuan Li, Weining Ye, Tingting Jiang, Tie-jun Huang:
2D Amodal Instance Segmentation Guided by 3D Shape Prior. 165-181 - Ping-Chung Yu, Cheng Sun, Min Sun:
Data Efficient 3D Learner via Knowledge Transferred from 2D Model. 182-198 - Tong Wu, Guangyu Gao, Junshi Huang, Xiaolin Wei, Xiaoming Wei, Chi Harold Liu:
Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation. 199-216 - Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. 217-234 - Yizheng Wu, Min Shi, Shuaiyuan Du, Hao Lu, Zhiguo Cao, Weicai Zhong:
3D Instances as 1D Kernels. 235-252 - Huanqia Cai, Fanglei Xue, Lele Xu, Lili Guo:
TransMatting: Enhancing Transparent Objects Matting with Transformers. 253-269 - Jiayuan Zhou, Lijun Wang, Huchuan Lu, Kaining Huang, Xinchu Shi, Bocong Liu:
MVSalNet: Multi-view Augmentation for RGB-D Salient Object Detection. 270-287 - Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
k-means Mask Transformer. 288-307 - Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr:
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. 308-325 - Sung-Hoon Yoon, Hyeokjun Kweon, Jegyeong Cho, Shinjeong Kim, Kuk-Jin Yoon:
Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation. 326-344 - Zihan Lin, Zilei Wang, Yixin Zhang:
Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment. 345-361 - Atsuro Okazawa:
Interclass Prototype Relation for Few-Shot Segmentation. 362-378 - Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei:
Slim Scissors: Segmenting Thin Object from Synthetic Background. 379-395 - Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata:
Abstracting Sketches Through Simple Primitives. 396-412 - Theodoros Pissas, Claudio S. Ravasio, Lyndon Da Cruz, Christos Bergeles:
Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation. 413-429 - Hongje Seong, Seoung Wug Oh, Brian L. Price, Euntai Kim, Joon-Young Lee:
One-Trimap Video Matting. 430-448 - Tsung-Han Wu, Yi-Syuan Liou, Shao-Ji Yuan, Hsin-Ying Lee, Tung-I Chen, Kuan-Chih Huang, Winston H. Hsu:
$\mathrm {D^2ADA}$: Dynamic Density-Aware Active Domain Adaptation for Semantic Segmentation. 449-467 - Yong Liu, Ran Yu, Fei Yin, Xinyuan Zhao, Wei Zhao, Weihao Xia, Yujiu Yang:
Learning Quality-aware Dynamic Memory for Video Object Segmentation. 468-486 - Hanzhe Hu, Yinbo Chen, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang:
Learning Implicit Feature Alignment Function for Semantic Segmentation. 487-505 - Federica Arrigoni, Willi Menapace, Marcel Seelbach Benkner, Elisa Ricci, Vladislav Golyanik:
Quantum Motion Segmentation. 506-523 - Feng Zhu, Zongxin Yang, Xin Yu, Yi Yang, Yunchao Wei:
Instance as Identity: A Generic Online Paradigm for Video Instance Segmentation. 524-540 - Xiao-Juan Li, Jie Yang, Fang-Lue Zhang:
Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation. 541-560 - Tuan Ngo, Khoi Nguyen:
Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance Segmenter. 561-578 - Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Union-Set Multi-source Model Adaptation for Semantic Segmentation. 579-595 - Ardian Umam, Cheng-Kun Yang, Yung-Yu Chuang, Jen-Hui Chuang, Yen-Yu Lin:
Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions. 596-611 - Ye Yu, Jialing Yuan, Gaurav Mittal, Fuxin Li, Mei Chen:
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation. 612-629 - Minhyeok Lee, Chaewon Park, Suhwan Cho, Sangyoun Lee:
SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection. 630-647 - Yong Liu, Ran Yu, Jiahao Wang, Xinyuan Zhao, Yitong Wang, Yansong Tang, Yujiu Yang:
Global Spectral Filter Memory Network for Video Object Segmentation. 648-665 - Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan:
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer. 666-681 - Haodi He, Yuhui Yuan, Xiangyu Yue, Han Hu:
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation. 682-700 - Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen:
Learning Topological Interactions for Multi-Class Medical Image Segmentation. 701-718 - Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear:
Unsupervised Segmentation in Real-World Images via Spelke Object Inference. 719-735 - Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai:
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model. 736-753
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