Publications (64)
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach
Ailing Zeng, Xiao Sun, Fuyang Huang +3
Human poses that are rare or unseen in a training set are challenging for a network to predict. Similar to the long-tailed distribution problem in visual recognition, the small num…
SkillMimic: Learning Basketball Interaction Skills from Demonstrations
Yinhuai Wang, Qihan Zhao, Runyi Yu +10
Traditional reinforcement learning methods for human-object interaction (HOI) rely on labor-intensive, manually designed skill rewards that do not generalize well across different…
Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image
Fuyang Huang, Ailing Zeng, Minhao Liu +2
In this paper, we propose a novel structure-aware 3D hourglass network for hand pose estimation from a single depth image, which achieves state-of-the-art results on MSRA and NYU d…
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image
Fuyang Huang, Ailing Zeng, Minhao Liu +2
In this paper, we propose a two-stage fully 3D network, namely \textbf{DeepFuse}, to estimate human pose in 3D space by fusing body-worn Inertial Measurement Unit (IMU) data and mu…
Bridging the Gap between Human Motion and Action Semantics via Kinematic Phrases
Xinpeng Liu, Yong-Lu Li, Ailing Zeng +3
Motion understanding aims to establish a reliable mapping between motion and action semantics, while it is a challenging many-to-many problem. An abstract action semantic (i.e., wa…
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation
Ailing Zeng, Xiao Sun, Lei Yang +3
Various deep learning techniques have been proposed to solve the single-view 2D-to-3D pose estimation problem. While the average prediction accuracy has been improved significantly…