Geon Yeong Park

About Me

I am a third-year Ph.D. student in Bio and Brain Engineering (BBE) at KAIST, with a strong desire to become a tech-based leader in AI. Fortunately co-advised by Prof. Jong Chul Ye and Prof. Sang Wan Lee. Completed M.S. in BBE at KAIST, advised by Prof. Sang Wan Lee. I am especially interested in bridging the gap between human perception and AI models, primarily focusing on improving AI generalization. In particular, my recent research focuses on (1) developing adaptation algorithms that distill and compose essential prior knowledge from foundational models, (2) ensuring fairness & robustness in the face of distribution shifts, and (3) refining the alignment across multiple modalities in generative models.

Research Interests

• Generative models: Diffusion models and their applications. (Editing, Inverse imaging, etc)
• Multi-modal learning: Text, Image, Video, 3D, etc.
• Attention mechanism: Modern transformer and its connection to associative memory models.
• Fair & robust learning: Adversarial vulnerability, Debiasing, Transfer learning.

News

• [Mar. 2020] Dreamsampler, DreamMotion, Treg is available on arxiv.
• [Mar. 2020] Three papers (Self-supervised debiasing, VMC, CDS) accepted at CVPR 2024.
• [Jan. 2024] EBCA receives 30th Samsung Humantech Paper Award (3rd in Signal Processing)
• [Dec. 2023] One poster session (EBCA) at NeurIPS 2023 in New Orleans.

Publications

Services

Conference Reviewers

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
• European Conference on Computer Vision (ECCV) 2024

Journal Reviewers

• IEEE Transactions on Image Processing (TIP)

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