| 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 | 413 | 2019 |
| Enhancement of SSD by concatenating feature maps for object detection J Jeong, H Park, N Kwak arXiv preprint arXiv:1705.09587, 2017 | 372 | 2017 |
| Mc-gan: Multi-conditional generative adversarial network for image synthesis H Park, Y Yoo, N Kwak arXiv preprint arXiv:1805.01123, 2018 | 67 | 2018 |
| 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 | 32 | 2020 |
| 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 | 32* | 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 | 27 | 2021 |
| 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 | 20 | 2019 |
| 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 |
| 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 | 6 | 2022 |
| Superpixel-based semantic segmentation trained by statistical process control H Park, J Jeong, Y Yoo, N Kwak arXiv preprint arXiv:1706.10071, 2017 | 6 | 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 | 4 | 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 | 4 | 2020 |
| 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 | 3 | 2023 |
| 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 | 2 | 2022 |
| 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 | 2 | 2021 |
| 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 | 1 | 2023 |
| 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 | | 2023 |
| Suplementary Material for DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction S Borse, D Das, H Park, H Cai, R Garrepalli, F Porikli | | |
Nojun KwakProfessor, Department of Intelligence and Information, Seoul National UniversityVerified email at snu.ac.kr
