Hi, I’m Yuxiang Liu (刘宇翔). Welcome to my homepage!
I am currently a third-year undergraduate student at the College of Intelligence and Computing, Tianjin University (TJU).
My research interests include Computer Vision, 3D Reconstruction, and Embodied AI. I am actively involved in research under the supervision of Prof. Kun Li.
I have demonstrated strong capabilities in academic competitions and research. Notably, my team won the Champion in the Skeleton Tracking Challenge at CVPR 2025 Global 3D Human Poses (G3P) Workshop. I have also been awarded the National Scholarship for two consecutive years.
My Email: lyx1021@tju.edu.cn
🔥 News
- 2025.12: ⭐ Awarded the National Scholarship for the academic year 2024-2025.
- 2025.06: 🏆 Won the Champion in the Skeleton Tracking Challenge at the CVPR 2025 G3P Workshop.
- 2024.12: ⭐ Awarded the National Scholarship for the academic year 2023-2024.
📝 Publications
- Robust Camera Pose Estimation and 3D Human Reconstruction for Sports Events
Jing Huang, Hanrong Zhuang, Lin Zhang, Yuxiang Liu, Kun Li
Technical Report for FIFA Skeleton Light Challenge 2025- Proposed a method extending the RCR (Robust Crowd Reconstruction) framework to video inputs for sports events.
- Designed a relative camera pose search algorithm with a fast line projector to achieve robustness and efficiency.
- Refined 3D HVIP to ensure the consistency of human movement and extracted 3D skeletons from SMPL parameters.
🔬 Research Projects & Competitions
Champion of FIFA Innovation Challenge Skeleton Tracking Light
CVPR 2025 Global 3D Human Poses (G3P) Workshop
- Achieved Rank 1 on the leaderboard. Invited to deliver the Winner Talk.
- Developed a robust method for 3D skeleton tracking in complex unstructured scenarios.
Unstructured Large Scene Light Field Image Stitching
National Innovation and Entrepreneurship Training Program (2024.08 - Present)
- Advisor: Prof. Kun Li and Assistant Researcher. Jian Ma.
- Focusing on Trusted Projection and 3D Reconstruction for large-scale scenes.
- Investigating algorithms for non-structured light field data processing.
Multimodal Data Modeling & Knowledge Discovery
National Innovation and Entrepreneurship Training Program (2024.04 - 2025.04)
- Core Member. Advisor: Prof. Yu Wang.
- Status: Completed (One-year Project).
- Implemented YOLO-based algorithms for license plate recognition under challenging conditions (high angle, blur, low light).
- Achieved high accuracy in complex environments.
🏅 Honors and Awards
International & National
- 2025.06 Champion, FIFA Skeleton Tracking Challenge (CVPR 2025 Workshop).
- 2024 National Scholarship (Ministry of Education of China).
- 2023 National Scholarship (Ministry of Education of China).
- 2025 Successful Participant (S Prize), MCM/ICM (Mthematical Contest in Modeling).
Provincial & Regional
- 2025 First Prize, Lanqiao Cup National Software Talent Competition (C/C++, Tianjin Area).
- 2024 Second Prize, Tianjin Mathematics Competition (Science & Engineering Group).
- 2024 First Prize, Tianjin Arts Performance (Orchestra).
🌟 Leadership & Activities
- 2025.09 - Present: President, Student Union, School of Computer Science and Technology, TJU.
- 2024.09 - Present: Vice Head, Peiyang Folk Orchestra.
- 2024.09 - 2025.09: League Secretary, Top Talent Class (Bajian Class).
- 2025.05: Champion, TJU Chess Competition (International Chess).
📖 Educations
- 2023.09 - Present, Undergraduate in Computer Science and Technology, Tianjin University (TJU).
- Program: Top Talent Training Plan 2.0 (Bajian Class).