Jonghwan Mun
Staff Engineer at Samsung Advanced Institute of Technology (SAIT)
Yongin-si, South Korea
Summary
👤
Senior🎓
Top SchoolJonghwan Mun is a Staff Engineer with a PhD in Computer Vision and a decade of experience building multimodal and video understanding systems at leading research labs. He led vision-language, open-vocabulary segmentation/detection, and noise-aware captioning work at KakaoBrain with multiple top-tier publications and challenge placements (CVPR, ICCV, ACCV), and recently joined Samsung Advanced Institute of Technology to scale research into impact. His background includes award-winning dense video captioning research from an internship at Snap and strong foundations in electrical and computer engineering. Known for blending rigorous academic methods with production-minded engineering, he often focuses on locality and in-context learning techniques that bridge multimodal models and practical applications.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at Pohang University of Science and TechnologyBachelor's degree, Electrical Computer Engineering, Bachelor's degree, Electrical Computer Engineering at Ulsan National Institute of Science and Technology
Github Skills (29)
temporal9
agent9
lora9
quantization9
gpt8
unsupervised-learning8
fine-tuning8
ai8
large-language-models8
peft8
transformers8
llm7
llama7
alpaca7
rlhf7
Programming languages (2)
Github contributions (5)
JonghwanMun/LGI4temporalgrounding
Apr 2020 - Jul 2021
Repository for the CVPR-20 paper "Local-Global Video-Text Interactions for Temporal Grounding"
Contributions:9 commits, 1 PR, 8 pushes in 1 year 2 months
pytorchunsupervised-learningdeep-learningtemporalgrounding
JonghwanMun/MCL-KD
Mar 2018 - Dec 2018
Contributions:70 commits, 6 pushes in 9 months
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