1 citations · 2 across the 4 of their papers we have counts for
4 papers
CIParsing: Unifying Causality Properties into Multiple Human Parsing
Xiaojia Chen, Xuanhan Wang, Lianli Gao +3
Existing methods of multiple human parsing (MHP) apply statistical models to acquire underlying associations between images and labeled body parts. However, acquired associations o…
RepParser: End-to-End Multiple Human Parsing with Representative Parts
Xiaojia Chen, Xuanhan Wang, Lianli Gao +1
Existing methods of multiple human parsing usually adopt a two-stage strategy (typically top-down and bottom-up), which suffers from either strong dependence on prior detection or…
KE-RCNN: Unifying Knowledge based Reasoning into Part-level Attribute Parsing
Xuanhan Wang, Jingkuan Song, Xiaojia Chen +3
Part-level attribute parsing is a fundamental but challenging task, which requires the region-level visual understanding to provide explainable details of body parts. Most existing…
Technical Report: Disentangled Action Parsing Networks for Accurate Part-level Action Parsing
Xuanhan Wang, Xiaojia Chen, Lianli Gao +2
Part-level Action Parsing aims at part state parsing for boosting action recognition in videos. Despite of dramatic progresses in the area of video classification research, a sever…