1 citations · 2 across the 5 of their papers we have counts for
5 papers
Faster Learning of Temporal Action Proposal via Sparse Multilevel Boundary Generator
Qing Song, Yang Zhou, Mengjie Hu +1
Temporal action localization in videos presents significant challenges in the field of computer vision. While the boundary-sensitive method has been widely adopted, its limitations…
Learning Visibility for Robust Dense Human Body Estimation
Chun-Han Yao, Jimei Yang, Duygu Ceylan +3
Estimating 3D human pose and shape from 2D images is a crucial yet challenging task. While prior methods with model-based representations can perform reasonably well on whole-body…
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection
Zhuoling Li, Zhan Qu, Yang Zhou +3
As an inherently ill-posed problem, depth estimation from single images is the most challenging part of monocular 3D object detection (M3OD). Many existing methods rely on preconce…
Preserve Pre-trained Knowledge: Transfer Learning With Self-Distillation For Action Recognition
Yang Zhou, Zhanhao He, Keyu Lu +2
Video-based action recognition is one of the most popular topics in computer vision. With recent advances of selfsupervised video representation learning approaches, action recogni…
Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training
Guanhong Wang, Keyu Lu, Yang Zhou +2
Recently, much progress has been made for self-supervised action recognition. Most existing approaches emphasize the contrastive relations among videos, including appearance and mo…