About
AI Researcher at LG Electronics, M.S. in Computer Science at Korea University. Interested in computer vision, especially in diffusion generative models and its controllable generation.
For more information, please refer to my CV
Publications
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters
Gyuseong Lee*, Wooseok Jang*, Jin Hyeon Kim, Jaewoo Jung, Seungryong Kim
WACV 2025 (To be presented), Oct. 2023
Read moreDiffMatch: Diffusion Model for Dense Matching
Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyeonsu Kim, Hyoungwon Cho, Seyeon Kim, Seungryong Kim
ICLR 2024 Oral Presentation, May 2024
Read moreImproving Sample Quality of Diffusion Models Using Self-Attention Guidance
Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim
ICCV 2023, Oct. 2023
Read moreDepth-Aware Guidance with Self-Estimated Depth Representations of Diffusion Models
Gyeongnyeon Kim*, Wooseok Jang*, Gyuseong Lee*, Susung Hong, Junyoung Seo, Seungryong Kim
Pattern Recognition, Apr. 2024
Read moreMIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
Junyoung Seo*, Gyuseong Lee*, Seokju Cho, Jiyoung Lee, Seungryong Kim
AAAI 2023, Feb. 2023
Read moreSemi-Supervised Learning of Semantic Correspondence With Pseudo-Labels
Jiwon Kim*, Kwangrok Ryoo*, Junyoung Seo*, Gyuseong Lee*, Daehwan Kim, Hansang Cho, Seungryong Kim
CVPR 2022, Jun. 2022
Read moreConmatch: Semi-supervised learning with confidence-guided consistency regularization
Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim
ECCV 2022, Oct. 2022
Read moreTowards Flexible Inductive Bias via Progressive Reparameterization Scheduling
Yunsung Lee*, Gyuseong Lee*, Kwangrok Ryoo*, Hyojun Go*, Jihye Park*, Seungryong Kim
ECCV 2022 Workshops on Visual Inductive Priors, Dec. 2022
Read moreAggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim
arXiv preprint, Jan. 2022
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