activity
20222024
most citedRepParser: End-to-End Multiple Human Parsing with Representative Parts

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection

Youheng Sun, Shengming Yuan, Xuanhan Wang +2

Targeted adversarial attack, which aims to mislead a model to recognize any image as a target object by imperceptible perturbations, has become a mainstream tool for vulnerability…

cs.CV2023

X-HRNet: Towards Lightweight Human Pose Estimation with Spatially Unidimensional Self-Attention

Yixuan Zhou, Xuanhan Wang, Xing Xu +2

High-resolution representation is necessary for human pose estimation to achieve high performance, and the ensuing problem is high computational complexity. In particular, predomin…

cs.CV20231 cited

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…

cs.CV20221 cited

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…

cs.CV2022

Skeleton-based Action Recognition via Adaptive Cross-Form Learning

Xuanhan Wang, Yan Dai, Lianli Gao +1

Skeleton-based action recognition aims to project skeleton sequences to action categories, where skeleton sequences are derived from multiple forms of pre-detected points. Compared…