Kim, Changhoon

11 publications

WACV 2025 Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan Turaga

NeurIPS 2025 EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment Naga Sai Abhiram Kusumba, Maitreya Patel, Kyle Min, Changhoon Kim, Chitta Baral, Yezhou Yang

NeurIPSW 2024 A Cognitive Framework for Learning Debiased and Interpretable Representations via Debiasing Global Workspace Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic

NeurIPSW 2024 Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic

CVPR 2024 ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations Maitreya Patel, Changhoon Kim, Sheng Cheng, Chitta Baral, Yezhou Yang

ECCV 2024 R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model Changhoon Kim, Kyle Min, Yezhou Yang

AAAI 2024 Risk Management in Image Generative Models Through Model Fingerprinting Changhoon Kim

NeurIPS 2024 TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives Maitreya Patel, Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale, Chitta Baral, Yezhou Yang

CVPR 2024 WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang

ICML 2023 Attributing Image Generative Models Using Latent Fingerprints Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren

ICLR 2021 Decentralized Attribution of Generative Models Changhoon Kim, Yi Ren, Yezhou Yang