Papers
3D-to-2D Distillation for Indoor Scene Parsing
Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu
3D Video Stabilization With Depth Estimation by CNN-Based Optimization
Yao-Chih Lee, Kuan-Wei Tseng, Yu-Ta Chen et al.
4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis
Weihang Liao, Art Subpa-asa, Yinqiang Zheng et al.
4D Panoptic LiDAR Segmentation
Mehmet Aygun, Aljosa Osep, Mark Weber et al.
A2-FPN: Attention Aggregation Based Feature Pyramid Network for Instance Segmentation
Miao Hu, Yali Li, Lu Fang et al.
A 3D GAN for Improved Large-Pose Facial Recognition
Richard T. Marriott, Sami Romdhani, Liming Chen
ABMDRNet: Adaptive-Weighted Bi-Directional Modality Difference Reduction Network for RGB-T Semantic Segmentation
Qiang Zhang, Shenlu Zhao, Yongjiang Luo et al.
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Chi Zhang, Baoxiong Jia, Song-Chun Zhu et al.
Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss
Lu Zhang, Shuigeng Zhou, Jihong Guan et al.
2021
CVPR
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization
Mathieu Serrurier, Franck Mamalet, Alberto Gonzalez-Sanz et al.
A Circular-Structured Representation for Visual Emotion Distribution Learning
Jingyuan Yang, Jie Li, Leida Li et al.
A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung
ACRE: Abstract Causal REasoning Beyond Covariation
Chi Zhang, Baoxiong Jia, Mark Edmonds et al.
ACTION-Net: Multipath Excitation for Action Recognition
Zhengwei Wang, Qi She, Aljosa Smolic
Action Shuffle Alternating Learning for Unsupervised Action Segmentation
Jun Li, Sinisa Todorovic
Action Unit Memory Network for Weakly Supervised Temporal Action Localization
Wang Luo, Tianzhu Zhang, Wenfei Yang et al.
Activate or Not: Learning Customized Activation
Ningning Ma, Xiangyu Zhang, Ming Liu et al.
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization
Junting Pan, Siyu Chen, Mike Zheng Shou et al.
AdaBins: Depth Estimation Using Adaptive Bins
Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu, Bernt Schiele, Qianru Sun
Adaptive Class Suppression Loss for Long-Tail Object Detection
Tong Wang, Yousong Zhu, Chaoyang Zhao et al.
2021
CVPR
Adaptive Consistency Prior Based Deep Network for Image Denoising
Chao Ren, Xiaohai He, Chuncheng Wang et al.
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili, Xingjian Li, Humphrey Shi et al.
Adaptive Convolutions for Structure-Aware Style Transfer
Prashanth Chandran, Gaspard Zoss, Paulo Gotardo et al.
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval
Yang Liu, Qingchao Chen, Samuel Albanie