Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers. - Jaehoon Yoo; Semin Kim 002; Doyup Lee; Chiheon Kim; Seunghoon Hong (CVPR, 2023)

Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild. - Donggyun Kim; Seongwoong Cho; Semin Kim 002; Chong Luo; Seunghoon Hong (ECCV (23), 2024)

Simulation-Free Training of Neural ODEs on Paired Data. - Semin Kim 002; Jaehoon Yoo; Jinwoo Kim; Yeonwoo Cha; Saehoon Kim; Seunghoon Hong (NeurIPS, 2024)

Bridging the gap to real-world language-grounded visual concept learning. - Whie Jung; Semin Kim 002; Junee Kim; Seunghoon Hong (NeurIPS, 2025)

Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models. - Semin Kim 002; Yeonwoo Cha; Jaehoon Yoo; Seunghoon Hong (CoRR, 2025)

FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows. - Yeonwoo Cha; Semin Kim 002; Jinhyeon Kwon; Seunghoon Hong (CoRR, 2025)