| Learning not to learn: Training deep neural networks with biased data B Kim, H Kim, K Kim, S Kim, J Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 404 | 2019 |
| Development of deep learning-based facial expression recognition system H Jung, S Lee, S Park, B Kim, J Kim, I Lee, C Ahn 2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), 1-4, 2015 | 69 | 2015 |
| Adjusting decision boundary for class imbalanced learning B Kim, J Kim IEEE Access 8, 81674-81685, 2020 | 62 | 2020 |
| Patch-wise attention network for monocular depth estimation S Lee, J Lee, B Kim, E Yi, J Kim Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 1873-1881, 2021 | 56 | 2021 |
| Highway Driving Dataset for Semantic Video Segmentation B Kim, J Yim, J Kim British Machine Vision Conference, 2018 | 16 | 2018 |
| Weight decay scheduling and knowledge distillation for active learning J Yun, B Kim, J Kim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 10 | 2020 |
| Question‐aware prediction with candidate answer recommendation for visual question answering B Kim, J Kim Electronics Letters 53 (18), 1244-1246, 2017 | 4 | 2017 |
| Collaborative Method for Incremental Learning on Classification and Generation B Kim, J Lee, K Kim, S Kim, J Kim 2019 IEEE International Conference on Image Processing (ICIP), 390-394, 2019 | 2 | 2019 |
| De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning B Kim, HG Hong, J Kim Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | | 2021 |
