| Part-aware data augmentation for 3d object detection in point cloud J Choi, Y Song, N Kwak 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 59* | 2020 |
| Two-layer Residual Feature Fusion for Object Detection J Choi, K Lee, J Jeong, N Kwak 8th International Conference on Pattern Recognition Applications and Methods …, 2017 | 33* | 2017 |
| Genetic-gated networks for deep reinforcement learning S Chang, J Yang, J Choi, N Kwak Advances in neural information processing systems 31, 2018 | 18 | 2018 |
| Kl-divergence-based region proposal network for object detection G Seo, J Yoo, J Cho, N Kwak 2020 IEEE International Conference on Image Processing (ICIP), 2001-2005, 2020 | 5 | 2020 |
| X-MAS: Extremely large-scale multi-modal sensor dataset for outdoor surveillance in real environments DK Noh, C Sung, T Uhm, WJ Lee, H Lim, J Choi, K Lee, D Hong, D Um, ... IEEE Robotics and Automation Letters 8 (2), 1093-1100, 2023 | 4 | 2023 |
| Md3d: Mixture-density-based 3d object detection in point clouds J Choi, Y Song, Y Kim, J Yoo, N Kwak IEEE Access 10, 104011-104022, 2022 | 3 | 2022 |
| Multi-modal Object Detection, Tracking, and Action Classification for Unmanned Outdoor Surveillance Robots K Lee, I Chung, D Um, J Choi, Y Song, S Seo, N Kwak, JY Choi International Conference on Control, Automation and Systems (ICCAS), 2021 | | 2021 |
| BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning S Chang, YJ Yoo, J Choi, N Kwak 8th International Conference on Pattern Recognition Applications and Methods …, 2017 | | 2017 |
Nojun KwakProfessor, Department of Intelligence and Information, Seoul National Universitysnu.ac.kr의 이메일 확인됨
