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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 27
- 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 XXVII. Lecture Notes in Computer Science 13687, Springer 2022, ISBN 978-3-031-19811-3 - Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang:
Relative Contrastive Loss for Unsupervised Representation Learning. 1-18 - Yang Jiao, Ning Xie, Yan Gao, Chien-Chih Wang, Yi Sun:
Fine-Grained Fashion Representation Learning by Online Deep Clustering. 19-35 - Eric C. Yeats, Frank Liu, David Womble, Hai Helen Li:
NashAE: Disentangling Representations Through Adversarial Covariance Minimization. 36-51 - Xuan Son Nguyen:
A Gyrovector Space Approach for Symmetric Positive Semi-definite Matrix Learning. 52-68 - Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan:
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. 69-87 - Artem Moskalev, Ivan Sosnovik, Volker Fischer, Arnold W. M. Smeulders:
Contrasting Quadratic Assignments for Set-Based Representation Learning. 88-104 - Arjun Ashok, K. J. Joseph, Vineeth N. Balasubramanian:
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer. 105-122 - Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic:
Object Discovery and Representation Networks. 123-143 - Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey:
Trading Positional Complexity vs Deepness in Coordinate Networks. 144-160 - Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
MVDG: A Unified Multi-view Framework for Domain Generalization. 161-177 - Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu:
Panoptic Scene Graph Generation. 178-196 - Qianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng, Jianfei Cai, Jianmin Zheng:
Object-Compositional Neural Implicit Surfaces. 197-213 - Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang:
RigNet: Repetitive Image Guided Network for Depth Completion. 214-230 - Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao:
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling. 231-247 - Zeyu Hu, Xuyang Bai, Runze Zhang, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai:
LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation. 248-265 - Youming Deng, Yansheng Li, Yongjun Zhang, Xiang Xiang, Jian Wang, Jingdong Chen, Jiayi Ma:
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation. 266-283 - Runyu Ding, Jihan Yang, Li Jiang, Xiaojuan Qi:
DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation. 284-303 - Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba:
MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. 304-321 - Runfa Li, Truong Nguyen:
MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene Flow Estimation with Monocular Images. 322-339 - Mutian Xu, Pei Chen, Haolin Liu, Xiaoguang Han:
TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes. 340-356 - Xinyi Wu, Zhenyao Wu, Jin Wan, Lili Ju, Song Wang:
Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic Segmentation? 357-373 - Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu:
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. 374-390 - Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu:
Improving the Reliability for Confidence Estimation. 391-408 - Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua:
Fine-Grained Scene Graph Generation with Data Transfer. 409-424 - Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Pose2Room: Understanding 3D Scenes from Human Activities. 425-443 - Xubin Zhong, Changxing Ding, Zijian Li, Shaoli Huang:
Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction Detection. 444-460 - Zhi Hou, Baosheng Yu, Dacheng Tao:
Discovering Human-Object Interaction Concepts via Self-Compositional Learning. 461-478 - Yuwei Wu, Weixiao Liu, Sipu Ruan, Gregory S. Chirikjian:
Primitive-Based Shape Abstraction via Nonparametric Bayesian Inference. 479-495 - Chenghao Zhang, Kun Tian, Bolin Ni, Gaofeng Meng, Bin Fan, Zhaoxiang Zhang, Chunhong Pan:
Stereo Depth Estimation with Echoes. 496-513 - Hanrong Ye, Dan Xu:
Inverted Pyramid Multi-task Transformer for Dense Scene Understanding. 514-530 - Yingfei Liu, Tiancai Wang, Xiangyu Zhang, Jian Sun:
PETR: Position Embedding Transformation for Multi-view 3D Object Detection. 531-548 - Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani:
S2Net: Stochastic Sequential Pointcloud Forecasting. 549-564 - Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie, Jian Yang:
RA-Depth: Resolution Adaptive Self-supervised Monocular Depth Estimation. 565-581 - Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao:
PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation. 582-599 - Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham:
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds. 600-619 - Jaesung Choe, Chunghyun Park, François Rameau, Jaesik Park, In So Kweon:
PointMixer: MLP-Mixer for Point Cloud Understanding. 620-640 - Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing:
Initialization and Alignment for Adversarial Texture Optimization. 641-658 - Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, Yichen Wei:
MOTR: End-to-End Multiple-Object Tracking with Transformer. 659-675 - Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen:
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing. 676-692 - Henry Howard-Jenkins, Victor Adrian Prisacariu:
LaLaLoc++: Global Floor Plan Comprehension for Layout Localisation in Unvisited Environments. 693-709 - Yu-Ting Yen, Chia-Ni Lu, Wei-Chen Chiu, Yi-Hsuan Tsai:
3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-Labeling. 710-728 - Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao:
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation. 729-747
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