About Me

I am Phillip (Yuseung) Lee, an M.S. student at KAIST Graduate School of AI, advised by Prof. Minhyuk Sung. I received my B.S. degree in Computer Science at KAIST in Aug. 2023.

My research interests revolve around enabling AI to understand and generate the complex structure of the physical 3D world. In particular, my current research area includes, but is not limited to, 2D/3D Computer Vision, Multimodal Understanding, and Generative Models.

For details, refer to my Curriculum Vitae (CV).

News

• [Jul. 2024] ReGround is accepted to ECCV 2024!
• [May. 2024] SyncDiffusion is featured in KAIST Annual R&D Report as a Research Highlight of 2023!
• [Dec. 2023] I gave a spotlight talk on SyncDiffusion at ML4CD Workshop in NeurIPS 2023 and also presented at Workshop on Diffusion Models. Click here to see the presentation slides.
• [Sep. 2023] SyncDiffusion is accepted to NeurIPS 2023!
• [Aug. 2023] Started Master's Progam at KAIST Graduate School of AI. (Advisor: Prof. Minhyuk Sung)
• [Jun. 2022] Joined KAIST Visual AI Group as a research intern.

Publications

Teaching

• Teaching Assistant, Fall 2023, Machine Learning for 3D Data (CS479), KAIST

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