2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic Segmentation
Ye Du, Zehua Fu, Qingjie Liu
Recent attention has been devoted to the pursuit of learning semantic segmentation models exclusively from image tags, a paradigm known as image-level Weakly Supervised Semantic Se…
cs.CV2023★ 1 cited
Improving Multi-Person Pose Tracking with A Confidence Network
Zehua Fu, Wenhang Zuo, Zhenghui Hu +2
Human pose estimation and tracking are fundamental tasks for understanding human behaviors in videos. Existing top-down framework-based methods usually perform three-stage tasks: h…
cs.CV2021★ 2 cited
Segmentation-Reconstruction-Guided Facial Image De-occlusion
Xiangnan Yin, Di Huang, Zehua Fu +2
Occlusions are very common in face images in the wild, leading to the degraded performance of face-related tasks. Although much effort has been devoted to removing occlusions from…