| A comprehensive overhaul of feature distillation B Heo, J Kim, S Yun, H Park, N Kwak, JY Choi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 534 | 2019 |
| Consistency-based semi-supervised learning for object detection J Jeong, S Lee, J Kim, N Kwak Advances in neural information processing systems 32, 2019 | 394 | 2019 |
| Normalization matters in weakly supervised object localization J Kim, J Choe, S Yun, N Kwak Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 33 | 2021 |
| Dynamic graph generation network: Generating relational knowledge from diagrams D Kim, YJ Yoo, JS Kim, S Lee, N Kwak Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 31 | 2018 |
| Few-shot image generation with mixup-based distance learning C Kong, J Kim, D Han, N Kwak European conference on computer vision, 563-580, 2022 | 15 | 2022 |
| StackNet: Stacking feature maps for Continual learning J Kim, J Kim, N Kwak Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 13 | 2020 |
| Vehicle Image Generation Going Well with the Surroundings J Kim, J Kim, J Yoo, D Kim, N Kwak Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 1 | 2021 |
| HC-Net: Memory-based Incremental Dual-Network System for Continual learning J Kim, J Kim, N Kwak | 1 | 2018 |
| SIFT-Like Pose Tracking with LIDAR using Zero Odometry JS Kim, N Kwak Journal of Institute of Control, Robotics and Systems 22 (11), 883-887, 2016 | | 2016 |
Nojun KwakProfessor, Department of Intelligence and Information, Seoul National UniversityПотвърден имейл адрес: snu.ac.kr
