Chanyoung Kim
Scholar

Chanyoung Kim

Google Scholar ID: cUK7XFIAAAAJ
Boeing, Yonsei University
Computer VisionVision Foundation Models
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,317
 
H-index
6
 
i10-index
6
 
Publications
11
 
Co-authors
0
 
Contact
CVOpen ↗TwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
16 items
Prune Once: Retraining-Free Task-Agnostic Pruning for Vision-Language Models
2026
Cited
0
QWERTY: Training-Free Motion Control via Query-Warped Video Diffusion Transformers
2026
Cited
0
Anatomically Consistent TMJ Disc Segmentation via Semantic Anchoring and Clinical Priors
2026
Cited
0
How Noisy Poses Break Inverse Dynamics: Analysis and Mitigation for Video-Based Joint Torque Estimation
2026
Cited
0
Towards Continuous Sign Language Conversation from Isolated Signs
2026
Cited
0
Rethinking Graph Convolution for 2D-to-3D Hand Pose Lifting
2026
Cited
0
WarmPrior: Straightening Flow-Matching Policies with Temporal Priors
2026
Cited
0
Delaunay Canopy: Building Wireframe Reconstruction from Airborne LiDAR Point Clouds via Delaunay Graph
2026
Cited
0
Resume
Academic Achievements
  • - Publications:
  • - Task-Specific Adaptation of Visual Foundation Model Features, CVPR 2025
  • - EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation, CVPR 2024 Highlight (Acceptance Rate < 2.8%)
  • - Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis, MICCAI 2025 Early Acceptance (Acceptance Rate < 9%)
  • - Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning, MICCAI 2024 Spotlight (Acceptance Rate < 3.4%)
  • - Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image Synthesis, CVPR 2025
  • - LISA: Localized Image Stylization with Audio via Implicit Neural Representation, arXiv 2022
  • - Awards:
  • - Best Academic Paper Award at Yonsei University Fall 2024 (EAGLE paper)
Research Experience
  • - The Boeing Company, AI/ML Research Intern, Aug 2025 - Present
  • - Medical Imaging & Computer Vision Lab, Yonsei University, Seoul, Graduate Student Researcher, Mar 2023 - Present, Research areas: Semantic Segmentation, Medical Image Quality Signals, Multimodal Image Synthesis
  • - Computer Vision Lab, Korea University, Seoul, Undergraduate Research Intern, Feb 2021 - Dec 2022, Research area: Audio-Visual Representation
Education
  • - MS in Artificial Intelligence, 2023~2026, Yonsei University, Seoul, Advisor: Prof. Seong Jae Hwang
  • - BS in Intelligent Mechatronics Engineering, 2017~2023, Sejong University, Seoul
Background
  • - Research interests include vision-language alignment, spectral and graph-theoretic approaches to vision representation, and task-specific crafting of image representations from foundation models.
  • - Currently pursuing an MS degree at Yonsei University, advised by Prof. Seong Jae Hwang.
Miscellany
  • - Serves as a Local Student Liaison Officer for MICCAI Student Board
  • - Personal interests not provided