| 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 | 11154 | 2018 |
| BAM: Bottleneck Attention Module J Park, S Woo, JY Lee, IS Kweon Proceedings of the British Machine Vision Conference, 2018 | 942 | 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 | 207* | 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 | 187 | 2018 |
| Bam: Bottleneck attention module. arXiv 2018 J Park, S Woo, JY Lee, IS Kweon arXiv preprint arXiv:1807.06514, 2018 | 67 | 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 | 59 | 2020 |
| Computer vision–ECCV 2018 S Woo, J Park, JY Lee, IS Kweon Cham: Springer, 3-19, 2018 | 50 | 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 | 40 | 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 | 13* | 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 | 11 | 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 | 11 | 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 | 8 | 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 | 7 | 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 | 6 | 2019 |
| Sequential feature filtering classifier M Seo, J Lee, J Park, D Kim, DG Choi IEEE Access 9, 97068-97078, 2021 | 4 | 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 | 3 | 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 | 3 | 2021 |
| Apparatus for predicting metadata of medical image and method thereof J Park, D Yoo US Patent 10,824,908, 2020 | 2 | 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 | 1 | 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 | | 2023 |
In So KweonKAISTVerified email at kaist.ac.kr
