Motion Reconstruction via Human Anatomy Diffusion from Sparse Tracking

Oct 1, 2024·
Zehai Niu
Zehai Niu
,
Ke Lu
,
Kun Dong
,
Jian Xue
,
Xiaoyu Qin
,
Jinbao Wang
· 0 min read
Abstract
A diffusion-based motion reconstruction framework that incorporates human anatomy priors to recover plausible full-body motion from sparse VR/AR tracker inputs.
Type
Publication
European Conference on Computer Vision (ECCV), 307-323
Status
Peer-reviewed
publications
Zehai Niu
Authors
Zehai Niu (he/him)
Assistant Professor · Shenzhen University

Zehai Niu is an Assistant Professor at Shenzhen University. His research focuses on edge-device inference acceleration for Vision-Language Models (VLM) and VLM interpretability — building VLMs that run fast on consumer devices, and that we actually understand.

He received his PhD from the University of Chinese Academy of Sciences (UCAS) in 2024. From July 2024 to May 2026, he was an AI Researcher at HONOR Device, where he led innovation for the gaming business — including M-DLSS 3.0, the industry’s first NPU-GPU heterogeneous frame interpolation system shipped to consumer phones — and the embodied intelligence stack of RobotPhone. During this period, he worked closely with Google’s Gemma team, Qualcomm, and Alibaba’s Qwen (Tongyi Qianwen) Lab.

He has published 20+ papers at ICCV, ECCV, ACM MM, IEEE TCSVT, IEEE TMM and other top venues, holds 10+ patents, and serves as a reviewer for ICLR, ICCV, ECCV, and ACM MM.