99 citations · 110 across the 4 of their papers we have counts for
4 papers
Capturing the motion of every joint: 3D human pose and shape estimation with independent tokens
Sen Yang, Wen Heng, Gang Liu +3
In this paper we present a novel method to estimate 3D human pose and shape from monocular videos. This task requires directly recovering pixel-alignment 3D human pose and body sha…
D&D: Learning Human Dynamics from Dynamic Camera
Jiefeng Li, Siyuan Bian, Chao Xu +3
3D human pose estimation from a monocular video has recently seen significant improvements. However, most state-of-the-art methods are kinematics-based, which are prone to physical…
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis
Yu Yu, Gang Liu, Jean-Marc Odobez
As an indicator of human attention gaze is a subtle behavioral cue which can be exploited in many applications. However, inferring 3D gaze direction is challenging even for deep ne…
A Differential Approach for Gaze Estimation
Gang Liu, Yu Yu, Kenneth A. Funes Mora +1
Non-invasive gaze estimation methods usually regress gaze directions directly from a single face or eye image. However, due to important variabilities in eye shapes and inner eye s…