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ORCIDACCV 2022: Macao, China - Part I
3D Computer Vision
- Haoliang Zhao
, Huizhou Zhou, Yongjun Zhang, Yong Zhao, Yitong Yang, Ting Ouyang:
EAI-Stereo: Error Aware Iterative Network for Stereo Matching. 3-19 - Kaihao Lan, Haobo Jiang, Jin Xie:
Temporal-Aware Siamese Tracker: Integrate Temporal Context for 3D Object Tracking. 20-35 - Junxuan Li, Yujiao Shi, Hongdong Li:
Neural Plenoptic Sampling: Learning Light-Field from Thousands of Imaginary Eyes. 36-54 - Jianwei Li, Haiqing Hu, Jinyang Li, Xiaomei Zhao:
3D-Yoga: A 3D Yoga Dataset for Visual-Based Hierarchical Sports Action Analysis. 55-71 - Peizhi Yan, James Gregson, Qiang Tang, Rabab Ward, Zhan Xu, Shan Du:
NEO-3DF: Novel Editing-Oriented 3D Face Creation and Reconstruction. 72-88 - Hanxi Yin, Lei Deng, Zhixiang Chen, Baohua Chen, Ting Sun, Yusen Xie, Junwei Xiao, Yeyu Fu, Shuixin Deng, Xiu Li:
LSMD-Net: LiDAR-Stereo Fusion with Mixture Density Network for Depth Sensing. 89-105 - Hang Du, Xuejun Yan, Jingjing Wang, Di Xie, Shiliang Pu:
Point Cloud Upsampling via Cascaded Refinement Network. 106-122 - Yujiao Shi, Xin Yu, Shan Wang, Hongdong Li:
CVLNet: Cross-view Semantic Correspondence Learning for Video-Based Camera Localization. 123-141 - Weilian Song, Mahsa Maleki Abyaneh, Mohammad Amin Shabani, Yasutaka Furukawa:
Vectorizing Building Blueprints. 142-157 - Xiang Li, Congcong Wen, Hao Huang:
Unsupervised 3D Shape Representation Learning Using Normalizing Flow. 158-175 - Linghua Tang, Le Hui, Jin Xie:
Learning Inter-superpoint Affinity for Weakly Supervised 3D Instance Segmentation. 176-192 - Hyun-Woo Kim, Gun-Hee Lee, Myeong-Seok Oh, Seong-Whan Lee:
Cross-View Self-fusion for Self-supervised 3D Human Pose Estimation in the Wild. 193-210 - Leslie Ching Ow Tiong, Dick Sigmund, Andrew Beng Jin Teoh:
3D-C2FT: Coarse-to-Fine Transformer for Multi-view 3D Reconstruction. 211-227 - Xingyi Li, Chaoyi Hong, Yiran Wang, Zhiguo Cao, Ke Xian, Guosheng Lin:
SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis. 228-244 - Shuaihang Yuan, Xiang Li, Hao Huang, Yi Fang:
Meta-Det3D: Learn to Learn Few-Shot 3D Object Detection. 245-261 - Chenguang Lu, Kang Yue, Yue Liu:
ReAGFormer: Reaggregation Transformer with Affine Group Features for 3D Object Detection. 262-279 - Yikang Ding, Zhenyang Li, Dihe Huang, Kai Zhang, Zhiheng Li, Wensen Feng:
Adaptive Range Guided Multi-view Depth Estimation with Normal Ranking Loss. 280-295 - Ping Zhao, Panyue Chen, Guanming Liu:
Training-Free NAS for 3D Point Cloud Processing. 296-310 - Takeshi Endo, Seigo Kaji, Haruki Matono, Masayuki Takemura, Takeshi Shima:
Re-parameterization Making GC-Net-Style 3DConvNets More Efficient. 311-325 - Shi Qiu, Saeed Anwar, Nick Barnes:
PU-Transformer: Point Cloud Upsampling Transformer. 326-343 - Ren Li, Benoît Guillard, Edoardo Remelli, Pascal Fua:
DIG: Draping Implicit Garment over the Human Body. 344-359 - Boyao Zhou, Jean-Sébastien Franco, Martin de La Gorce, Edmond Boyer:
Pyramidal Signed Distance Learning for Spatio-Temporal Human Shape Completion. 360-377 - Alakh Aggarwal, Jikai Wang, Steven Hogue, Saifeng Ni, Madhukar Budagavi, Xiaohu Guo:
Layered-Garment Net: Generating Multiple Implicit Garment Layers from a Single Image. 378-395 - Xindong Guo, Yu Sun, Rong Zhao, Liqun Kuang, Xie Han:
SWPT: Spherical Window-Based Point Cloud Transformer. 396-412 - Bach Tran, Binh-Son Hua, Anh Tuan Tran, Minh Hoai:
Self-supervised Learning with Multi-view Rendering for 3D Point Cloud Analysis. 413-431 - Yijun Chen, Zhulun Yang, Xianwei Zheng, Yadong Chang, Xutao Li:
PointFormer: A Dual Perception Attention-Based Network for Point Cloud Classification. 432-449 - Xiang Guo, Guanying Chen, Yuchao Dai, Xiaoqing Ye, Jiadai Sun, Xiao Tan, Errui Ding:
Neural Deformable Voxel Grid for Fast Optimization of Dynamic View Synthesis. 450-468 - Jiaxin Wei, Lige Liu, Ran Cheng, Wenqing Jiang, Minghao Xu, Xinyu Jiang, Tao Sun, Sören Schwertfeger, Laurent Kneip:
Spotlights: Probing Shapes from Spherical Viewpoints. 469-485 - Wenju Wang, Gang Chen, Haoran Zhou, Xiaolin Wang:
OVPT: Optimal Viewset Pooling Transformer for 3D Object Recognition. 486-503 - Chao Shi, Chongyang Zhang, Yan Luo:
Structure Guided Proposal Completion for 3D Object Detection. 504-520
Optimization Methods
- Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin:
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-task Learning. 523-538 - Aeri Kim, Seungju Lee, Eunji Kwon, Seokhyeong Kang:
Adaptive FSP: Adaptive Architecture Search with Filter Shape Pruning. 539-555 - Noam Gottlieb, Michael Werman:
DecisioNet: A Binary-Tree Structured Neural Network. 556-570 - Hao Xue, Xia Zeng, Wang Lin, Zhengfeng Yang, Chao Peng, Zhenbing Zeng:
An RNN-Based Framework for the MILP Problem in Robustness Verification of Neural Networks. 571-586 - Yali Zhang, Xiaofan Wang, Fengpin Wang, Jinjia Wang:
Image Denoising Using Convolutional Sparse Coding Network with Dry Friction. 587-601 - Xiatao Kang, Ping Li, Jiayi Yao, Chengxi Li:
Neural Network Panning: Screening the Optimal Sparse Network Before Training. 602-617 - Yuanzhi Duan, Yue Zhou, Peng He, Qiang Liu, Shukai Duan, Xiaofang Hu:
Network Pruning via Feature Shift Minimization. 618-634 - Zilin Fang, Mohamad Shahbazi, Thomas Probst, Danda Pani Paudel, Luc Van Gool:
Training Dynamics Aware Neural Network Optimization with Stabilization. 635-651 - Yang Zhao, Hao Zhang:
Neighborhood Region Smoothing Regularization for Finding Flat Minima in Deep Neural Networks. 652-665
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