Inès Hyeonsu Kim
Scholar

Inès Hyeonsu Kim

Google Scholar ID: tBcqfncAAAAJ
KAIST
Computer ScienceArtificial IntelligenceComputer Vision
Citations & Impact
All-time
Citations
196
 
H-index
3
 
i10-index
3
 
Publications
9
 
Co-authors
24
list available
Resume (English only)
Academic Achievements
  • - 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.