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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 3
- 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 III. Lecture Notes in Computer Science 13663, Springer 2022, ISBN 978-3-031-20061-8 - Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll:
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement. 1-19 - Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski:
LaTeRF: Label and Text Driven Object Radiance Fields. 20-36 - Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He:
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis. 37-54 - Dongliang Cao, Florian Bernard:
Unsupervised Deep Multi-shape Matching. 55-71 - Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
Texturify: Generating Textures on 3D Shape Surfaces. 72-88 - An-Chieh Cheng, Xueting Li, Sifei Liu, Min Sun, Ming-Hsuan Yang:
Autoregressive 3D Shape Generation via Canonical Mapping. 89-104 - Jun-Kun Chen, Yu-Xiong Wang:
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees. 105-120 - Shenhan Qian, Jiale Xu, Ziwei Liu, Liqian Ma, Shenghua Gao:
UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation. 121-137 - Brandon Yushan Feng, Yinda Zhang, Danhang Tang, Ruofei Du, Amitabh Varshney:
PRIF: Primary Ray-Based Implicit Function. 138-155 - Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang:
Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction. 156-172 - Kim Youwang, Ji-Yeon Kim, Tae-Hyun Oh:
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes. 173-191 - Samir Agarwala, Linyi Jin, Chris Rockwell, David F. Fouhey:
PlaneFormers: From Sparse View Planes to 3D Reconstruction. 192-209 - Siyou Lin, Hongwen Zhang, Zerong Zheng, Ruizhi Shao, Yebin Liu:
Learning Implicit Templates for Point-Based Clothed Human Modeling. 210-228 - Qianjiang Hu, Daizong Liu, Wei Hu:
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks. 229-248 - Jingwang Ling, Zhibo Wang, Ming Lu, Quan Wang, Chen Qian, Feng Xu:
Structure-Aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation. 249-267 - Yiyu Zhuang, Hao Zhu, Xusen Sun, Xun Cao:
MoFaNeRF: Morphable Facial Neural Radiance Field. 268-285 - Tong He, Wei Yin, Chunhua Shen, Anton van den Hengel:
PointInst3D: Segmenting 3D Instances by Points. 286-302 - Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov:
Cross-modal 3D Shape Generation and Manipulation. 303-321 - Chao Chen, Yu-Shen Liu, Zhizhong Han:
Latent Partition Implicit with Surface Codes for 3D Representation. 322-343 - Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov:
Implicit Field Supervision for Robust Non-rigid Shape Matching. 344-362 - Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki:
Learning Self-prior for Mesh Denoising Using Dual Graph Convolutional Networks. 363-379 - Manxi Lin, Aasa Feragen:
DiffConv: Analyzing Irregular Point Clouds with an Irregular View. 380-397 - Aihua Mao, Zihui Du, Yu-Hui Wen, Jun Xuan, Yong-Jin Liu:
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows. 398-415 - Haoran Zhou, Yun Cao, Wenqing Chu, Junwei Zhu, Tong Lu, Ying Tai, Chengjie Wang:
SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer. 416-432 - Nikolas Lamb, Sean Banerjee, Natasha Kholgade Banerjee:
DeepMend: Learning Occupancy Functions to Represent Shape for Repair. 433-450 - Qingyang Tan, Yi Zhou, Tuanfeng Y. Wang, Duygu Ceylan, Xin Sun, Dinesh Manocha:
A Repulsive Force Unit for Garment Collision Handling in Neural Networks. 451-467 - Oren Katzir, Dani Lischinski, Daniel Cohen-Or:
Shape-Pose Disentanglement Using SE(3)-Equivariant Vector Neurons. 468-484 - Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves:
3D Equivariant Graph Implicit Functions. 485-502 - Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri:
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation. 503-522 - Emery Pierson, Mohamed Daoudi, Sylvain Arguillère:
3D Shape Sequence of Human Comparison and Classification Using Current and Varifolds. 523-539 - Jianxiong Shen, Antonio Agudo, Francesc Moreno-Noguer, Adria Ruiz:
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification. 540-557 - Yuki Kawana, Yusuke Mukuta, Tatsuya Harada:
Unsupervised Pose-aware Part Decomposition for Man-Made Articulated Objects. 558-575 - Benoît Guillard, Federico Stella, Pascal Fua:
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks. 576-592 - Zhaofan Qiu, Yehao Li, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei:
SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement. 593-609 - Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie:
The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts. 610-626 - Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Xian-Sheng Hua, Lei Zhang:
Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition. 627-644 - Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning. 645-662 - Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Semi-supervised Temporal Action Detection with Proposal-Free Masking. 663-680 - Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang:
Zero-Shot Temporal Action Detection via Vision-Language Prompting. 681-697 - Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof:
CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video. 698-715 - Zengyu Wan, Yang Wang, Ganchao Tan, Yang Cao, Zheng-Jun Zha:
S2N: Suppression-Strengthen Network for Event-Based Recognition Under Variant Illuminations. 716-733 - Yunyao Mao, Wengang Zhou, Zhenbo Lu, Jiajun Deng, Houqiang Li:
CMD: Self-supervised 3D Action Representation Learning with Cross-Modal Mutual Distillation. 734-752
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