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Jaeik Kim I'm an M.S. student at AIDAS Lab, Seoul National University, advised by Jaeyoung Do. Research Keywords: Diffusion Language Models / Omnimodal Models / Robotics / Model Editing & Personalization Email / Google Scholar / GitHub / LinkedIn |
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News
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Publications |
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SUM: Unified Geometric Surgery on Spatio-Temporal Adaptation Vectors for Federated Class Incremental Learning
Jaeik Kim*, Jaeyoung Do† The 19th European Conference on Computer Vision (ECCV), 2026 paper coming soon |
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Dynin-Omni: Omnimodal Unified Large Diffusion Language Model
Jaeik Kim*, Woojin Kim, Jihwan Hong, Yejoon Lee, Sieun Hyeon, Mintaek Lim, Yunseok Han, Dogeun Kim, Hoeun Lee, Hyunggeun Kim, Jaeyoung Do† arXiv preprint, 2026 project page / paper / code / model / demo |
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Medic-AD: Towards Medical Vision-Language Model's Clinical Intelligence
Woohyeon Park, Jaeik Kim, Sunghwan Steve Cho, Pa Hong, Woo Kyoung Jeong, Yoojin Nam, Nam-Joon Kim, Ginny Wong, Ka Chun Cheung, Jaeyoung Do† The 43rd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 Oral 🏅 Award Candidate paper |
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MMPB: It's Time for Multi-Modal Personalization
Jaeik Kim*, Woojin Kim, Woohyeon Park, Jaeyoung Do† The 39th Conference on Neural Information Processing Systems (NeurIPS), 2025 project page / paper / dataset |
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Exploring and Leveraging Class Vectors for Classifier Editing
Jaeik Kim*, Jaeyoung Do† The 39th Conference on Neural Information Processing Systems (NeurIPS), 2025 project page / paper |
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SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding
Woohyeon Park, Woojin Kim, Jaeik Kim, Jaeyoung Do† The 42nd International Conference on Machine Learning (ICML), 2025 project page / paper |