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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Thu, 24 Jul 2025 11:49:30 GMT access-control-allow-origin: * strict-transport-security: max-age=31556952 etag: W/"68821dca-33e2" expires: Tue, 30 Dec 2025 15:02:36 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: 138D:2F7ECD:A380A0:B78B37:6953E734 accept-ranges: bytes age: 0 date: Tue, 30 Dec 2025 14:52:36 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210035-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767106356.386732,VS0,VE220 vary: Accept-Encoding x-fastly-request-id: d2390a2aefcf9d5f135bf4d1ac703764fb1f7064 content-length: 3023 Geonmo Gu

Geonmo Gu

Research Scientist at NAVER AI Lab
Email: korgm403 [at] gmail.com
[Github] [Google Scholar] [Linkedin]

Education

M.S. in Computer Vision from Korea Advanced Institute of Science and Technology (Mar. 2016 - Feb. 2018)
B.S. in Electrical and Electronic Engineering from Yonsei University (Mar. 2010 - Feb. 2016)

Experience

NAVER AI Lab (Jun. 2025 - Present)
Amazon Web Services (Sep. 2024 - Jun. 2025)
NAVER (Feb. 2018 - Sep. 2024)

Publications

2024

Language-only Training of Zero-shot Composed Image Retrieval
Geonmo Gu*, Sanghyuk Chun*, Wonjae Kim, Yoohoon Kang, Sangdoo Yun
Computer Vision and Pattern Recognition (CVPR), 2024.
[paper] [code]

2023

Graphit: A Unified Framework for Diverse Image Editing Tasks
Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Sangdoo Yun, Yoohoon Kang
Open source project
[code]

CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
Geonmo Gu*, Sanghyuk Chun*, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
Computer Vision and Pattern Recognition Workshop (CVPRW), 2024.
[paper] [code]

2022

Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Jon Almazan, Byungsoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis
European Conference on Computer Vision (ECCV), 2022.
[paper]

Self-Distilled Hashing for Deep Image Retrieval
Young Kyun Jang, Geonmo Gu, Byungsoo Ko, Nam Ik Cho
European Conference on Computer Vision (ECCV), 2022.
[paper]

Large-scale Bilingual Language-Image Contrastive Learning
Byungsoo Ko*, Geonmo Gu*
International Conference on Learning Representations (ICLRW), 2022.
[paper] [code] [demo]

Towards Light-weight and Real-time Line Segment Detection
Geonmo Gu*, Byungsoo Ko*, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin
Association for the Advancement of Artificial Intelligence (AAAI), 2022. (Oral)
[paper] [code] [demo]

2021

Learning with Memory-based Virtual Classes for Deep Metric Learning
Byungsoo Ko*, Geonmo Gu*, Han-Gyu Kim
International Conference on Computer Vision (ICCV), 2021.
[paper] [code]

RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network
Minchul Shin, Yoonjae Cho, Byungsoo Ko, Geonmo Gu
arXiv, 2021.
[paper]

Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning
Geonmo Gu*, Byungsoo Ko*, Han-Gyu Kim
Association for the Advancement of Artificial Intelligence (AAAI), 2021.
[paper] [code]

2020

Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning
Byungsoo Ko*, Geonmo Gu*
Computer Vision and Pattern Recognition (CVPR), 2020.
[paper] [code]

Symmetrical Synthesis for Deep Metric Learning
Geonmo Gu*, Byungsoo Ko*, Han-Gyu Kim
Association for the Advancement of Artificial Intelligence (AAAI), 2020.
[paper] [code]

Compounding the performance improvements of assembled techniques in a convolutional neural network
Jungkyu Lee, Taeryun Won, Tae Kwan Lee, Hyemin Lee, Geonmo Gu, Kiho Hong
arXiv, 2020.
[paper] [code]

TODO: update papers

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