10 citations · 15 across the 6 of their papers we have counts for
6 papers
PAM: A Pose-Appearance-Motion Engine for Sim-to-Real HOI Video Generation
Mingju Gao, Kaisen Yang, Huan-ang Gao +13
Hand-object interaction (HOI) reconstruction and synthesis are becoming central to embodied AI and AR/VR. Yet, despite rapid progress, existing HOI generation research remains frag…
Egocentric Visibility-Aware Human Pose Estimation
Peng Dai, Yu Zhang, Yiqiang Feng +2
Egocentric human pose estimation (HPE) using a head-mounted device is crucial for various VR and AR applications, but it faces significant challenges due to keypoint invisibility.…
EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling
Songpengcheng Xia, Yu Zhang, Zhuo Su +7
Estimating full-body motion using the tracking signals of head and hands from VR devices holds great potential for various applications. However, the sparsity and unique distributi…
Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications
Xiaowei Zhang, Chi Xu, Yu Zhang +2
This paper studies the problem of multivariate linear regression where a portion of the observations is grossly corrupted or is missing, and the magnitudes and locations of such oc…
Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects
Yu Zhang, Chi Xu, Li Cheng
This paper focuses on the challenging problem of 3D pose estimation of a diverse spectrum of articulated objects from single depth images. A novel structured prediction approach is…
Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups
Chi Xu, Lakshmi Narasimhan Govindarajan, Yu Zhang +1
Pose estimation, tracking, and action recognition of articulated objects from depth images are important and challenging problems, which are normally considered separately. In this…