4 citations · 5 across the 4 of their papers we have counts for
4 papers
Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
Ruicong Liu, Takehiko Ohkawa, Mingfang Zhang +1
The pursuit of accurate 3D hand pose estimation stands as a keystone for understanding human activity in the realm of egocentric vision. The majority of existing estimation methods…
UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation
Ruicong Liu, Feng Lu
Gaze estimation has become a subject of growing interest in recent research. Most of the current methods rely on single-view facial images as input. Yet, it is hard for these appro…
Jitter Does Matter: Adapting Gaze Estimation to New Domains
Ruicong Liu, Yiwei Bao, Mingjie Xu +3
Deep neural networks have demonstrated superior performance on appearance-based gaze estimation tasks. However, due to variations in person, illuminations, and background, performa…
Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation
Yunfei Liu, Ruicong Liu, Haofei Wang +1
Deep neural networks have significantly improved appearance-based gaze estimation accuracy. However, it still suffers from unsatisfactory performance when generalizing the trained…