| 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 | 638 | 2019 |
| Enhancement of SSD by concatenating feature maps for object detection J Jeong, H Park, N Kwak arXiv preprint arXiv:1705.09587, 2017 | 447 | 2017 |
| Mc-gan: Multi-conditional generative adversarial network for image synthesis H Park, Y Yoo, N Kwak arXiv preprint arXiv:1805.01123, 2018 | 79 | 2018 |
| Concentrated-comprehensive convolutions for lightweight semantic segmentation H Park, Y Yoo, G Seo, D Han, S Yun, N Kwak arXiv preprint arXiv:1812.04920, 2018 | 53* | 2018 |
| Learning dynamic network using a reuse gate function in semi-supervised video object segmentation H Park, J Yoo, S Jeong, G Venkatesh, N Kwak Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 41 | 2021 |
| Sinet: Extreme lightweight portrait segmentation networks with spatial squeeze module and information blocking decoder H Park, L Sjosund, YJ Yoo, N Monet, J Bang, N Kwak Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 39 | 2020 |
| Extremec3net: Extreme lightweight portrait segmentation networks using advanced c3-modules H Park, LL Sjösund, YJ Yoo, J Bang, N Kwak arXiv preprint arXiv:1908.03093, 2019 | 33 | 2019 |
| Panoptic, instance and semantic relations: A relational context encoder to enhance panoptic segmentation S Borse, H Park, H Cai, D Das, R Garrepalli, F Porikli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 14 | 2022 |
| Dejavu: Conditional regenerative learning to enhance dense prediction S Borse, D Das, H Park, H Cai, R Garrepalli, F Porikli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Debasmit Das, Risheek Garrepalli, and Fatih Porikli. Panoptic, instance and semantic relations: A relational context encoder to enhance panoptic segmentation S Borse, H Park, H Cai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 7 | 2022 |
| Real-time, accurate, and consistent video semantic segmentation via unsupervised adaptation and cross-unit deployment on mobile device H Park, A Yessenbayev, T Singhal, NK Adhikari, Y Zhang, SM Borse, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 7 | 2022 |
| Superpixel-based semantic segmentation trained by statistical process control H Park, J Jeong, Y Yoo, N Kwak arXiv preprint arXiv:1706.10071, 2017 | 7 | 2017 |
| Transadapt: A transformative framework for online test time adaptive semantic segmentation D Das, S Borse, H Park, K Azarian, H Cai, R Garrepalli, F Porikli ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 5 | 2023 |
| TTVOS: Lightweight video object segmentation with adaptive template attention module and temporal consistency loss H Park, G Venkatesh, N Kwak arXiv preprint arXiv:2011.04445, 2020 | 5 | 2020 |
| Adaptive template and transition map for real-time video object segmentation H Park, J Yoo, G Venkatesh, N Kwak IEEE Access 9, 116914-116926, 2021 | 3 | 2021 |
| Panoptic segmentation with panoptic, instance, and semantic relations SM Borse, H Park, H Cai, DAS Debasmit, R Garrepalli, FM Porikli US Patent App. 17/807,614, 2023 | 2 | 2023 |
| Test-time adaptation vs. training-time generalization: A case study in human instance segmentation using keypoints estimation K Azarian, D Das, H Park, F Porikli Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 2 | 2023 |
| Possam: Panoptic open-vocabulary segment anything V VS, S Borse, H Park, D Das, V Patel, M Hayat, F Porikli arXiv preprint arXiv:2403.09620, 2024 | 1 | 2024 |
| Dynamic delta transformations for segmentation SM Borse, H Park, R Garrepalli, DAS Debasmit, H Cai, FM Porikli US Patent App. 18/346,470, 2024 | | 2024 |
| Regenerative learning to enhance dense prediction SM Borse, DAS Debasmit, H Park, H Cai, R Garrepalli, FM Porikli US Patent App. 18/460,903, 2024 | | 2024 |
Nojun KwakProfessor, Department of Intelligence and Information, Seoul National UniversityVerified email at snu.ac.kr
