- CVPR 2025: Exploring Temporally-Aware Features for Point Tracking
- Under-review 2025: Learning to Track Any Points from Human Motion, Pose-dIVE: Pose-Diversified Augmentation for Person Re-Identification, Geomery-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency Modeling
- ICML 2024: Retrieval-Augmented Score Distillation for Text-to-3D Generation
- ICLR 2024 (Oral): Diffusion Model for Dense Matching, Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
- Awards: 2025 Presidential Scholarship, 2025 CVPR Travel Award, 2024 Highest Honors Graduate Award, 2023 Best Paper Award at the 33rd Artificial Intelligence and Signal Processing, IEIE
Research Experience
- Visiting Researcher at the University of Michigan, Ann Arbor, June - Nov. 2025
- Research Collaboration at Adobe, San Jose, CA (Remote), Sep. 2024 - present
Education
M.S. at KAIST AI, advised by Prof. Seungryong Kim, time not explicitly mentioned.
Background
Research interests include general perception in video, especially point tracking, and its application to 3D/4D video understanding and robotics (Physical AI). Currently an M.S. student at KAIST AI, advised by Prof. Seungryong Kim, and a visiting researcher at the University of Michigan, Ann Arbor, working with Prof. Honglak Lee. Also closely collaborating with Joon-Young Lee and Gabriel Huang at Adobe Research.
Miscellany
Actively seeking a Ph.D. position to push the boundaries of AI and robotics.