About Inhwan Oh A graph representing inhwanbae's contributions from april 13, 2025 to april 16, 2026. the contributions are 99% commits, 1% code review, 0% issues, 0% pull requests. If you are interested in our lab, please contact us at [inhwanbae (at) dgist.ac.kr]. i am an assistant professor in the department of electrical engineering and computer science at dgist. previously, i received a ph.d. in artificial intelligence from gist in 2025, under the guidance of prof. hae gon jeon.
Inhwanbae Inhwan Bae Github User profile of inhwan bae on hugging face. Inhwan bae assistant professor, dgist verified email at dgist.ac.kr homepage computer vision robotics machine learning. One paper on trajectory prediction & generation (crowd behavior generation) is accepted to cvpr'25! see you at nashville (cvpr'25) and hawaii (iccv'25)! inhwanbae. Our lab bridges the gap between digital perception and real world interaction. driven by advanced computer vision and machine learning & robot vision, our research equips machines to truly understand complex real world environments.
Inhwanbae Inhwan Bae Github One paper on trajectory prediction & generation (crowd behavior generation) is accepted to cvpr'25! see you at nashville (cvpr'25) and hawaii (iccv'25)! inhwanbae. Our lab bridges the gap between digital perception and real world interaction. driven by advanced computer vision and machine learning & robot vision, our research equips machines to truly understand complex real world environments. Official code for "learning pedestrian group representations for multi modal trajectory prediction (eccv 2022)" inhwanbae gpgraph. Official code for "can language beat numerical regression? language based multimodal trajectory prediction (cvpr 2024)" and "social reasoning aware trajectory prediction via multimodal language model (tpami)" inhwanbae lmtrajectory. I. bae, h. choi, j. cho, j. jeong, k. park, g. koo, d. choi, t. kim, g. shin, y. kim, j. hwan, y. kim, g. choi, and y. lim, “adaptive urban auto‐driving algorithm based on sensor weighted integration field”, in the fall conference of korea automotive safety association, jeju, korea, 2019. Inhwanbae crowd behavior generation official code for "continuous locomotive crowd behavior generation (cvpr 2025)".
Blog Posts Inhwan Oh Official code for "learning pedestrian group representations for multi modal trajectory prediction (eccv 2022)" inhwanbae gpgraph. Official code for "can language beat numerical regression? language based multimodal trajectory prediction (cvpr 2024)" and "social reasoning aware trajectory prediction via multimodal language model (tpami)" inhwanbae lmtrajectory. I. bae, h. choi, j. cho, j. jeong, k. park, g. koo, d. choi, t. kim, g. shin, y. kim, j. hwan, y. kim, g. choi, and y. lim, “adaptive urban auto‐driving algorithm based on sensor weighted integration field”, in the fall conference of korea automotive safety association, jeju, korea, 2019. Inhwanbae crowd behavior generation official code for "continuous locomotive crowd behavior generation (cvpr 2025)".
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