I am a PhD student in KAIST School of Computing, supervised by Professor Seunghoon Hong. My current research interest is few-shot learning and general-purpose AI. In particular, I am interested in building a generalist model to solve various tasks without heavy task-specific training.

Recent Publications

[1] Donggyun Kim, Jinwoo Kim, Seongwoong Cho, Chong Luo, Seunghoon Hong, "Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching", In Proceedings of the International Conference on Learning Representations (ICLR), 2023. (notable-top-5%, oral presentation) [paper] [github]

[2] Donggyun Kim, Seongwoong Cho, Wonkwang Lee, Seunghoon Hong, "Multi-Task Neural Processes", In Proceedings of the International Conference on Learning Representations (ICLR), 2022. [paper] [github]

[3] Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee, "High-Fidelity Synthesis with Disentangled Representation", In Proceedings of the European Conference on Computer Vision (ECCV), 2020. [paper] [github]

Visit Our Lab: https://vllab.kaist.ac.kr