Jongchan Park
Jongchan Park
Lunit Inc.
Verified email at - Homepage
Cited by
Cited by
CBAM: Convolutional Block Attention Module
S Woo, J Park, JY Lee, IS Kweon
Proceedings of the European conference on computer vision (ECCV), 3-19, 2018
BAM: Bottleneck Attention Module
J Park, S Woo, JY Lee, IS Kweon
Proceedings of the British Machine Vision Conference, 2018
Reducing Domain Gap by Reducing Style Bias
H Nam, HJ Lee, J Park, W Yoon, D Yoo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Distort-and-recover: Color enhancement using deep reinforcement learning
J Park, JY Lee, D Yoo, IS Kweon
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Bam: Bottleneck attention module. arXiv 2018
J Park, S Woo, JY Lee, IS Kweon
arXiv preprint arXiv:1807.06514, 2018
A simple and light-weight attention module for convolutional neural networks
J Park, S Woo, JY Lee, IS Kweon
International journal of computer vision 128 (4), 783-798, 2020
Computer vision–ECCV 2018
S Woo, J Park, JY Lee, IS Kweon
Cham: Springer, 3-19, 2018
Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs
JG Nam, M Kim, J Park, EJ Hwang, JH Lee, JH Hong, JM Goo, CM Park
European Respiratory Journal 57 (5), 2021
PT4AL: Using Self-supervised Pretext Tasks for Active Learning
JSK Yi, M Seo, J Park, DG Choi
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case–control study
SY Choi, S Park, M Kim, J Park, YR Choi, KN Jin
Medicine 100 (16), 2021
Studying the effects of self-attention for medical image analysis
A Rao, J Park, S Woo, JY Lee, O Aalami
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Unsupervised change detection based on image reconstruction loss
H Noh, J Ju, M Seo, J Park, DG Choi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Learning visual context by comparison
M Kim, J Park, S Na, CM Park, D Yoo
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Fraud detection with multi-modal attention and correspondence learning
J Park, MH Kim, S Choi, IS Kweon, DG Choi
2019 International Conference on Electronics, Information, and Communication …, 2019
Sequential feature filtering classifier
M Seo, J Lee, J Park, D Kim, DG Choi
IEEE Access 9, 97068-97078, 2021
A Self-Supervised Sampler for Efficient Action Recognition: Real-World Applications in Surveillance Systems
M Seo, D Cho, S Lee, J Park, D Kim, J Lee, J Ju, H Noh, DG Choi
IEEE Robotics and Automation Letters 7 (2), 1752-1759, 2021
Multi-Task Learning with Task-Specific Feature Filtering in Low-Data Condition
S Lee, R Lee, M Seo, J Park, H Noh, J Ju, R Jang, G Lee, M Choi, D Choi
Electronics 10 (21), 2691, 2021
Apparatus for predicting metadata of medical image and method thereof
J Park, D Yoo
US Patent 10,824,908, 2020
Exploiting Features with Split-and-Share Module
JM Lee, MS Seo, DH Kim, SW Lee, JC Park, DG Choi
Electronics 11 (2), 235, 2022
Method for filtering normal medical image, method for interpreting medical image, and computing device implementing the methods
J Park
US Patent App. 18/086,962, 2023
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