103 citations · 251 across the 28 of their papers we have counts for
6 papers · 2 filters
Towards Good Practices for Instance Segmentation
Dongdong Yu, Zehuan Yuan, Jinlai Liu +2
Instance Segmentation is an interesting yet challenging task in computer vision. In this paper, we conduct a series of refinements with the Hybrid Task Cascade (HTC) Network, and e…
Towards Good Practices for Multi-Person Pose Estimation
Dongdong Yu, Kai Su, Changhu Wang
Multi-Person Pose Estimation is an interesting yet challenging task in computer vision. In this paper, we conduct a series of refinements with the MSPN and PoseFix Networks, and em…
Towards Good Practices for Video Object Segmentation
Dongdong Yu, Kai Su, Hengkai Guo +6
Semi-supervised video object segmentation is an interesting yet challenging task in machine learning. In this work, we conduct a series of refinements with the propagation-based vi…
Deformable Tube Network for Action Detection in Videos
Wei Li, Zehuan Yuan, Dashan Guo +3
We address the problem of spatio-temporal action detection in videos. Existing methods commonly either ignore temporal context in action recognition and localization, or lack the m…
A Context-and-Spatial Aware Network for Multi-Person Pose Estimation
Dongdong Yu, Kai Su, Xin Geng +1
Multi-person pose estimation is a fundamental yet challenging task in computer vision. Both rich context information and spatial information are required to precisely locate the ke…
Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
Kai Su, Dongdong Yu, Zhenqi Xu +2
Multi-person pose estimation is an important but challenging problem in computer vision. Although current approaches have achieved significant progress by fusing the multi-scale fe…