Kim, Chanwoo

9 publications

ICLR 2025 An Efficient Framework for Crediting Data Contributors of Diffusion Models MingYu Lu, Chris Lin, Chanwoo Kim, Su-In Lee

NeurIPS 2025 CellCLIP - Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning MingYu Lu, Ethan Weinberger, Chanwoo Kim, Su-In Lee

NeurIPSW 2024 Efficient Transfer Learning Driven by Layer-Wise Features Aggregation Chanwoo Kim, Jeyoon Yeom, Joowang Kim, Suho Kang, Kyungwoo Song

TMLR 2024 Physics Informed Distillation for Diffusion Models Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon, Dhananjaya Nagaraja Gowda, Chanwoo Kim, Chang D. Yoo

WACV 2024 RMFER: Semi-Supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video Yunseong Cho, Chanwoo Kim, Hoseong Cho, Yunhoe Ku, Eunseo Kim, Muhammadjon Boboev, Joonseok Lee, Seungryul Baek

NeurIPS 2024 Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert, Chanwoo Kim, Su-In Lee, James Zou, Tatsunori Hashimoto

ICLR 2023 Contrastive Corpus Attribution for Explaining Representations Chris Lin, Hugh Chen, Chanwoo Kim, Su-In Lee

ICLR 2023 Learning to Estimate Shapley Values with Vision Transformers Ian Connick Covert, Chanwoo Kim, Su-In Lee

CVPR 2023 Transformer-Based Unified Recognition of Two Hands Manipulating Objects Hoseong Cho, Chanwoo Kim, Jihyeon Kim, Seongyeong Lee, Elkhan Ismayilzada, Seungryul Baek