Handi YIN

I'm a first year PhD student at ROAS Thrust, HKUST(GZ), in Guangzhou, China. Before that, I received my MPhil degree from CMA Thrust, HKUST(GZ) in 2024 and B.Eng. degree from Department of EE, Tsinghua University in 2022.

I'm currently supervised by Prof. Jie Song.

Email  /  Scholar  /  Github

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News

2025/03/24 I will be attending 3DV 2025 in Singapore. Looking forward to seeing you there!

2024/12/02 I will be presenting at SIGGRAPH Asia 2024 in Tokyo, Japan. If you're interested in my work, don't hesitate to reach out!

Research

My current research mainly focuses on human pose data collection and how to utilize prior from human pose data for robotics.

EgoHDM: An Online Egocentric-Inertial Human Motion Capture, Localization, and Dense Mapping System
Handi Yin*, Bonan Liu*, Manuel Kaufmann, Jinhao He, Sammy Christen, Jie Song^, Pan Hui
SIGGRAPH Asia 2024 (TOG)
3DV 2025 Nectar Track
project page / video / paper

EgoHDM is an innovative online egocentric-inertial motion capture system that provides near real-time localization and dense scene mapping, enhancing human motion estimation in various terrains.

OmniColor: A Global Camera Pose Optimization Approach of LiDAR-360Camera Fusion for Colorizing Point Clouds
Bonan Liu, Guoyang Zhao, Jianhao Jiao, Guang Cai, Chengyang Li, Handi Yin, Yuyang Wang, Pan Hui^
ICRA 2024 Oral
code / video / paper

OmniColor colorizes point clouds with a 360-degree camera, optimizing camera poses for accurate image-to-geometry mapping without feature extraction, resulting in improved 3D reconstruction in robotic navigation and scene reconstruction tasks.

Graph-based Fingerprint Update Using Unlabelled WiFi Signals
Ka Ho Chiu, Handi Yin, Weipeng Zhuo, Chulho-Lee, S.-H. Gary Chan^
IMWUT (March 2025)
paper

In this work, we study the challenging problem of how to effectively update an existing fingerprint database given a batch of unlabelled (crowdsourced) signals that may consist of new APs.