Beom
Republic of Korea, Korea, Republic of
Summary
👤
SeniorBeomyoung Kim is an AI research engineer at NAVER's Clova team and a Ph.D. candidate in AI at KAIST, with nine years of experience focused on real-world image understanding. He specializes in image segmentation and object detection, advancing label-efficient methods (weakly/semi-supervised), continual segmentation, and practical deployment such as real-time segmentation on edge devices and human matting. Beomyoung works with vision foundation and multi-modal models like SAM and has hands-on experience adapting architectures for OCR (CRNN with LSTM/GRU) showcased in his GitHub contributions. His profile blends strong academic research under Prof. Sung Ju Hwang with production-minded engineering, often bridging novel algorithms to constrained, real-time systems.
9 years of coding experience
Github Skills (12)
mask-rcnn10
keras10
faster-rcnn10
computer-vision10
gru10
rnn-model10
n10
python9
ocra9
machine-learning9
ocr9
tensorflow8
Programming languages (4)
Github contributions (5)
qjadud1994/CRNN-Keras
Jan 2018 - Sep 2019
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
Role in this project:
ML Engineer
ML EngineerContributions:37 commits, 2 PRs, 33 pushes in 1 year 7 months
Contributions summary:Beom primarily focused on modifying and updating the model architecture for the CRNN (Convolutional Recurrent Neural Network) for OCR. The commits demonstrate modifications to the `Model.py` and `Model_GRU.py` files, indicating experimentation with different recurrent layers (LSTM and GRU) and architectural changes. Furthermore, the user made changes in `Prediction.py` and `training.py`, suggesting involvement in both the model training and prediction processes.
keraslicense-plate-recognitionocr
qjadud1994/Korean-license-plate-Generator
Nov 2018 - Sep 2019
Generate Synthetic Korea License Plate.
Contributions:19 commits, 18 pushes, 1 branch in 9 months
license-plateplateinpaintingsyntheticlicense
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