ICCV 2021
1,612 papers
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation
Yachao Zhang, Yanyun Qu, Yuan Xie, Zonghao Li, Shanshan Zheng
Image Manipulation Detection by Multi-View Multi-Scale Supervision
Xinru Chen, Chengbo Dong, Jiaqi Ji, Juan Cao, Xirong Li
Patch Craft: Video Denoising by Deep Modeling and Patch Matching
Gregory Vaksman, Michael Elad, Peyman Milanfar
4D-Net for Learned Multi-Modal Alignment
AJ Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova
3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds
Lichen Zhao, Daigang Cai, Lu Sheng, Dong Xu
Specificity-Preserving RGB-D Saliency Detection
Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan
Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation
Robin Chan, Matthias Rottmann, Hanno Gottschalk
PlenOctrees for Real-Time Rendering of Neural Radiance Fields
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng
FOVEA: Foveated Image Magnification for Autonomous Navigation
Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan
Continual Learning on Noisy Data Streams via Self-Purified Replay
Chris Dongjoo Kim, Jinseo Jeong, Sangwoo Moon, Gunhee Kim
C2N: Practical Generative Noise Modeling for Real-World Denoising
Geonwoon Jang, Wooseok Lee, Sanghyun Son, Kyoung Mu Lee
AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition
Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu