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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 33
- 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 XXXIII. Lecture Notes in Computer Science 13693, Springer 2022, ISBN 978-3-031-19826-7 - Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, Clément Godard:
SimpleRecon: 3D Reconstruction Without 3D Convolutions. 1-19 - Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, William T. Freeman:
Structure and Motion from Casual Videos. 20-37 - Guangming Wang, Yunzhe Hu, Zhe Liu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang:
What Matters for 3D Scene Flow Network. 38-55 - Lalit Manam, Venu Madhav Govindu:
Correspondence Reweighted Translation Averaging. 56-72 - Radu Alexandru Rosu, Shunsuke Saito, Ziyan Wang, Chenglei Wu, Sven Behnke, Giljoo Nam:
Neural Strands: Learning Hair Geometry and Appearance from Multi-view Images. 73-89 - Xin Liu, Xiaofei Shao, Bo Wang, Yali Li, Shengjin Wang:
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs. 90-107 - Aikaterini Adam, Torsten Sattler, Konstantinos Karantzalos, Tomás Pajdla:
Objects Can Move: 3D Change Detection by Geometric Transformation Consistency. 108-124 - Dávid Rozenberszki, Or Litany, Angela Dai:
Language-Grounded Indoor 3D Semantic Segmentation in the Wild. 125-141 - Sameera Ramasinghe, Simon Lucey:
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. 142-158 - Tianhan Xu, Tatsuya Harada:
Deforming Radiance Fields with Cages. 159-175 - Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or:
FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction. 176-196 - Ming Li, Xueqian Jin, Xuejiao Hu, Jingzhao Dai, Sidan Du, Yang Li:
MODE: Multi-view Omnidirectional Depth Estimation with 360$^\circ $ Cameras. 197-213 - Simon Schreiberhuber, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze:
GigaDepth: Learning Depth from Structured Light with Branching Neural Networks. 214-229 - Xuran Pan, Zihang Lai, Shiji Song, Gao Huang:
ActiveNeRF: Learning Where to See with Uncertainty Estimation. 230-246 - Matteo Taiana, Matteo Toso, Stuart James, Alessio Del Bue:
PoserNet: Refining Relative Camera Poses Exploiting Object Detections. 247-263 - Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey:
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation. 264-280 - Jan U. Müller, Michael Weinmann, Reinhard Klein:
Unbiased Gradient Estimation for Differentiable Surface Splatting via Poisson Sampling. 281-299 - Kushagra Tiwary, Tzofi Klinghoffer, Ramesh Raskar:
Towards Learning Neural Representations from Shadows. 300-316 - Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Class-Incremental Novel Class Discovery. 317-333 - Jie Liu, Xiaoqing Guo, Yixuan Yuan:
Unknown-Oriented Learning for Open Set Domain Adaptation. 334-350 - Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan:
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation. 351-368 - Xin Lai, Zhuotao Tian, Xiaogang Xu, Ying-Cong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia:
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation. 369-387 - Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele:
Class-Agnostic Object Counting Robust to Intraclass Diversity. 388-403 - Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah:
Burn After Reading: Online Adaptation for Cross-domain Streaming Data. 404-422 - Guodong Xu, Yuenan Hou, Ziwei Liu, Chen Change Loy:
Mind the Gap in Distilling StyleGANs. 423-439 - Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun:
Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes. 440-458 - Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang:
Learning Instance-Specific Adaptation for Cross-Domain Segmentation. 459-476 - Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao:
RegionCL: Exploring Contrastive Region Pairs for Self-supervised Representation Learning. 477-494 - Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Long-Tailed Class Incremental Learning. 495-512 - Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim:
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. 513-529 - Kun-Yu Lin, Jiaming Zhou, Yukun Qiu, Wei-Shi Zheng:
Adversarial Partial Domain Adaptation by Cycle Inconsistency. 530-548 - Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak:
Combating Label Distribution Shift for Active Domain Adaptation. 549-566 - Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi:
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation. 567-585 - Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci, Fabio Poiesi:
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation. 586-602 - Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff:
A Unified Framework for Domain Adaptive Pose Estimation. 603-620 - Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko:
A Broad Study of Pre-training for Domain Generalization and Adaptation. 621-638 - Tao Sun, Cheng Lu, Haibin Ling:
Prior Knowledge Guided Unsupervised Domain Adaptation. 639-655 - Gilhyun Nam, Gyeongjae Choi, Kyungmin Lee:
GCISG: Guided Causal Invariant Learning for Improved Syn-to-Real Generalization. 656-672 - Yipeng Gao, Lingxiao Yang, Yunmu Huang, Song Xie, Shiyong Li, Wei-Shi Zheng:
AcroFOD: An Adaptive Method for Cross-Domain Few-Shot Object Detection. 673-690 - Jayeon Yoo, Inseop Chung, Nojun Kwak:
Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box. 691-708 - Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, Ser-Nam Lim:
Visual Prompt Tuning. 709-727 - Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia:
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. 728-745
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