Geonmo Gu
Research Scientist at NAVER AI Lab
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolGeonmo Gu is a research scientist specializing in computer vision with nine years of experience building multimodal models and practical vision systems. Based in Seoul, he led large-scale multimodal representation efforts at NAVER—collecting 4 billion image-text pairs and publishing state-of-the-art composed image retrieval work (CVPR24, CVPRW24)—and created Graphit, a diffusion-based generative editor with demos on GitHub and HuggingFace. His prior work includes lightweight, real-time vision modules like M-LSD integrated into ControlNet and Visual ChatGPT, plus metric learning advances for image retrieval across top conferences. He briefly contributed to data-driven services at AWS before returning to NAVER AI Lab as a research scientist, blending production-savvy engineering with cutting-edge research. Known online as "Happy Computer Vision," he combines large-scale engineering (80 A100 GPUs) with reproducible open releases.
9 years of coding experience
7 years of employment as a software developer
Bachelor, Electrical and Electronics Engineering, Bachelor, Electrical and Electronics Engineering at Yonsei UniversityMaster, Electrical and Electronics Engineering, Master, Electrical and Electronics Engineering at Korea Advanced Institute of Science and Technology
Github Skills (41)
segment10
metric-learning10
line-segment10
webdataset10
image-retrieval10
ctc10
sequence10
artificial-intelligence9
pytorch9
facebook9
python9
synthesis9
conformer9
regularizer9
transformer-architecture9
Programming languages (3)
Github contributions (5)
clovaai/symmetrical-synthesis
Feb 2020 - Oct 2021
Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)
Contributions:7 commits, 3 PRs, 3 pushes in 1 year 8 months
deep-metric-learningdeep-learningsynthesismetric-learningaaai
geonm/geonm.github.io
Aug 2016 - Mar 2025
For my own site
Contributions:1 PR, 17 pushes, 1 branch in 8 years 8 months
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