1. Paper 'Warehouse Spatial Question Answering with LLM Agent' accepted by ICCV AI City Challenge Workshop
2. Team won 1st place in 2025 ICCV AI City Challenge Track 3: Warehouse Spatial Question Answering
3. Paper 'ToSA: Token Merging with Spatial Awareness' accepted by IROS 2025
4. One paper accepted by ICCV
5. Paper 'Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression' accepted by CVPR 2025 3D LLM/VLA Workshop
6. Team won 2nd place in 2025 SkiTB Visual Tracking Challenge
7. Paper 'MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking' accepted by ICASSP 2025
8. Released SAMURAI project
9. Team won 1st place in 2024 MMVPR Tracking Challenge in Multi-modal Visual Object Tracking
10. Paper 'ToddlerAct: A Toddler Action Recognition Dataset for Gross Motor Development Assessment' accepted by 2024 ECCV Workshop
11. Paper 'RT-Pose: A 4D Radar-Tensor based 3D Human Pose Estimation and Localization Benchmark' accepted by ECCV 2024
12. Co-first author paper 'An Online Approach and Evaluation Method for Tracking People Across Cameras in Extremely Long Video Sequence' accepted by 2024 CVPR AI City Challenge Workshop
13. Paper 'Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check' accepted by 2024 IEEE Intelligent Vehicles Symposium
14. Paper 'A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Videos' accepted by IEEE ICASSP 2024
15. Paper 'Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking' accepted by 2024 WACV 2nd Workshop on Maritime Computer Vision
16. Team won 1st place in 2024 MaCVi Challenge UAV Multi-Object Tracking and USV Multi-Object Tracking tracks
17. Paper 'Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports' accepted by 2024 WACV Real-World Surveillance: Applications and Challenges Workshop
18. Co-first author paper 'Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment' accepted by 2023 CVPR AI City Challenge Workshop
Research Experience
1. Working with Prof. Jenq-Neng Hwang and the Information Processing Lab
2. Internship at Amazon CoRo Visual Perception Team
Education
1. University of Washington, Ph.D. in Electrical and Computer Engineering (Advisor: Prof. Jenq-Neng Hwang)
2. University of Washington, M.S. in Electrical and Computer Engineering
3. National Chiao Tung University, Bachelor's degree
Background
Research interests include Spatial Intelligence, 3D Scene Understanding, and Multimodal Large Language Models. Currently a PhD candidate in Electrical and Computer Engineering at the University of Washington - Seattle.
Miscellany
1. Gave a talk at National Chiayi University (NCYU) on 'Deep Learning in Video Understanding: Applications, Challenges and Trend'