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17th ECCV 2022: Tel Aviv, Israel - Volume 22
- 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 XXII. Lecture Notes in Computer Science 13682, Springer 2022, ISBN 978-3-031-20046-5 - Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang:
ByteTrack: Multi-object Tracking by Associating Every Detection Box. 1-21 - Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu:
Robust Multi-object Tracking by Marginal Inference. 22-40 - Aleksandr Kim, Guillem Brasó, Aljosa Osep, Laura Leal-Taixé:
PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking? 41-58 - Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki:
Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories. 59-75 - Zelin Zhao, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia:
Tracking Objects as Pixel-Wise Distributions. 76-94 - Zhiyang Guo, Yunyao Mao, Wengang Zhou, Min Wang, Houqiang Li:
CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds. 95-111 - Jinyu Yang, Zhongqun Zhang, Zhe Li, Hyung Jin Chang, Ales Leonardis, Feng Zheng:
Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline. 112-128 - Dooseop Choi, KyoungWook Min:
Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting. 129-145 - Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan:
AiATrack: Attention in Attention for Transformer Visual Tracking. 146-164 - Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman:
Disentangling Architecture and Training for Optical Flow. 165-182 - Jenny Schmalfuss, Philipp Scholze, Andrés Bruhn:
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow. 183-200 - Luojie Huang, Yikang Liu, Li Chen, Eric Z. Chen, Xiao Chen, Shanhui Sun:
Robust Landmark-Based Stent Tracking in X-ray Fluoroscopy. 201-216 - Song Wen, Hao Wang, Dimitris N. Metaxas:
Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations. 217-233 - Li-Wu Tsao, Yan-Kai Wang, Hao-Siang Lin, Hong-Han Shuai, Lai-Kuan Wong, Wen-Huang Cheng:
Social-SSL: Self-supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction. 234-250 - Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui:
Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors. 251-269 - Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon:
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction. 270-289 - Gang Zhang, Xiaoyan Li, Zhenhua Wang:
Sequential Multi-view Fusion Network for Fast LiDAR Point Motion Estimation. 290-305 - Yanyan Li, Federico Tombari:
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs. 306-322 - Sukai Wang, Ming Liu:
Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving. 323-340 - Botao Ye, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen:
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework. 341-357 - Guy Tevet, Brian Gordon, Amir Hertz, Amit H. Bermano, Daniel Cohen-Or:
MotionCLIP: Exposing Human Motion Generation to CLIP Space. 358-374 - Boyu Chen, Peixia Li, Lei Bai, Lei Qiao, Qiuhong Shen, Bo Li, Weihao Gan, Wei Wu, Wanli Ouyang:
Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking. 375-392 - Yiqi Zhong, Zhenyang Ni, Siheng Chen, Ulrich Neumann:
Aware of the History: Trajectory Forecasting with the Local Behavior Data. 393-409 - Shuai Yuan, Xian Sun, Hannah Kim, Shuzhi Yu, Carlo Tomasi:
Optical Flow Training Under Limited Label Budget via Active Learning. 410-427 - Zhixiong Pi, Weitao Wan, Chong Sun, Changxin Gao, Nong Sang, Chen Li:
Hierarchical Feature Embedding for Visual Tracking. 428-445 - Suhwan Cho, Heansung Lee, Minhyeok Lee, Chaewon Park, Sungjun Jang, Minjung Kim, Sangyoun Lee:
Tackling Background Distraction in Video Object Segmentation. 446-462 - Abduallah A. Mohamed, Deyao Zhu, Warren Vu, Mohamed Elhoseiny, Christian G. Claudel:
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation. 463-479 - Mathis Petrovich, Michael J. Black, Gül Varol:
TEMOS: Generating Diverse Human Motions from Textual Descriptions. 480-497 - Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu:
Tracking Every Thing in the Wild. 498-515 - Soshi Shimada, Vladislav Golyanik, Zhi Li, Patrick Pérez, Weipeng Xu, Christian Theobalt:
HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance. 516-533 - Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho:
Towards Sequence-Level Training for Visual Tracking. 534-551 - Yunwen Zhou, Abhishek Kar, Eric Turner, Adarsh Kowdle, Chao X. Guo, Ryan C. DuToit, Konstantine Tsotsos:
Learned Monocular Depth Priors in Visual-Inertial Initialization. 552-570 - Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool:
Robust Visual Tracking by Segmentation. 571-588 - Vojtech Panek, Zuzana Kukelova, Torsten Sattler:
MeshLoc: Mesh-Based Visual Localization. 589-609 - Yu-Wen Chen, Hsuan-Kung Yang, Chu-Chi Chiu, Chun-Yi Lee:
S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction. 610-626 - Xuhui Tian, Xinran Lin, Fan Zhong, Xueying Qin:
Large-Displacement 3D Object Tracking with Hybrid Non-local Optimization. 627-643 - Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiri Matas:
FEAR: Fast, Efficient, Accurate and Robust Visual Tracker. 644-663 - Liangchen Song, Xuan Gong, Benjamin Planche, Meng Zheng, David S. Doermann, Junsong Yuan, Terrence Chen, Ziyan Wu:
PREF: Predictability Regularized Neural Motion Fields. 664-681 - Conghao Wong, Beihao Xia, Ziming Hong, Qinmu Peng, Wei Yuan, Qiong Cao, Yibo Yang, Xinge You:
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums. 682-700 - Haoxian Zhang, Yonggen Ling:
HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking. 701-718 - Jianfeng Xiang, Junliang Chen, Wenshuang Liu, Xianxu Hou, Linlin Shen:
RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer. 719-735 - Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang:
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. 736-753 - Guangcong Zheng, Shengming Li, Hui Wang, Taiping Yao, Yang Chen, Shouhong Ding, Xi Li:
Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation. 754-769
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