Changlong Jiang 姜昌龙

I am a Ph.D. student at the Department of Artificial Intelligence and Automation, Huazhong University of Science and Technology (HUST), advised by Prof. Yang Xiao. Before that, I received my bachelor's degree from HUST. I was born in Tai'an, Shandong, a beautiful historical and cultural city at the foot of Mount Tai.

My research interests include computer vision and pattern recognition. Currently, I mainly focus on Pose Estimation, Embodied AI, Hand-Object Interaction, Hand Motion Generation, and Hand Pose Tracking.

Email  /  Scholar  /  Github

profile photo

Publications

3D Hand Pose Estimation via Articulated Anchor-to-Joint 3D Local Regressors
Changlong Jiang, Yang Xiao#, Jinghong Zheng, Haohong Kuang, Cunlin Wu, Mingyang Zhang, Zhiguo Cao, Min Du, Joey Tianyi Zhou, and Junsong Yuan
(#: corresponding author)
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2026
paper / project / code
MoEG-HOI: Mixture of Expert Groups for One-Stage Hand-Object Interaction Motion Generation with Hand-Finger-Joint Semantic Guidance
Hang Xu, Yang Xiao#, Changlong Jiang, Haohong Kuang, Kaidi Zhang, Min Du, and Ran Wang,
(#: corresponding author)
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026
paper / code
PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space
Jinghong Zheng, Changlong Jiang, Yang Xiao#, Jiaqi Li, Haohong Kuang, Hang Xu, Ran Wang, Zhiguo Cao, Min Du, and Joey Tianyi Zhou
(#: corresponding author)
39th Conference on Neural Information Processing Systems (NeurIPS), 2025
paper / code / poster
UniPose: Unified Cross-modality Pose Prior Propagation towards RGB-D data for Weakly Supervised 3D Human Pose Estimation
Jinghong Zheng, Changlong Jiang#, Jiaqi Li, Haohong Kuang, Hang Xu, and Tingbing Yan
(#: corresponding author)
Pattern Recognition and Computer Vision (PRCV), 2025
paper / arxiv
Technical Report of HCB-Hand Team for Dexterous HO Tracker Challenge on HANDS 2025 Challenge
Hang Xu, Yang Xiao# Changlong Jiang, Haohong Kuang, Yangfan Deng Qihang Zhou, Ran Wang, Min Du, Zhiwen Fang, Zhiguo Cao, and Joey Tianyi Zhou
(#: corresponding author)
International Conference on Computer Vision (ICCV) Workshop , 2025
paper / challenge-page
Technical report of HCB team for Multiview Egocentric Hand Tracking Challenge on HANDS 2024 Challenge
Haohong Kuang, Yang Xiao# Changlong Jiang, Jinghong Zheng, Hang Xu, Ran Wang, Zhiguo Cao, Min Du, Zhiwen Fang, and Joey Tianyi Zhou
(#: corresponding author)
The 18th European Conference on Computer Vision (ECCV) Workshop , 2024
paper / challenge-page
Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image
Changlong Jiang, Yang Xiao#, Cunlin Wu, Mingyang Zhang, Jinghong Zheng, Zhiguo Cao, and Joey Tianyi Zhou
(#: corresponding author)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
paper / code / video / poster

Competitions

Observing and Understanding Hands in Action (HANDS), ICCV 2025
Challenge: Tracking Dexterous Hand-Object Manipulation from Human Demonstration
Result: Obtain 1st place and first prize.
paper / challenge-page
Observing and Understanding Hands in Action (HANDS), ECCV 2024
Challenge: Multiview Egocentric Hand Tracking Challenge (MegoTrack)
Result: Obtain 1st place and first prize.
paper / challenge-page
Observing and Understanding Hands in Action (HANDS), ECCV 2022
Challenge: Semi/Self-supervised Two-hands 3D Pose Estimation.
Result: Obtain 1st place and first prize.
paper / challenge-page
The "Challenge Cup" National Competition, 2023
Topic: Driver Monitoring System (DMS).
Result: Winning the Grand Prize (top prize beyond First Prize).
The Mathematical Contest In Modeling (MCM), America, 2020
Topic: Comprehensive exploration of buyer reviews and ratings for Amazon e-commerce products.
Result: Obtain Meritorious Winner (9%).

Selected Honors & Scholarships

  • National Scholarship (Rank 7/630+),  2023
  • Merit Student,  2023
  • First-Class Scholarship for Postgraduates ,  2023


  • This website is inspired by Jon Barron's website and Wenzheng Zeng's website . Many thanks to them!