| Deep learning model for real-time prediction of intradialytic hypotension H Lee, D Yun, J Yoo, K Yoo, YC Kim, DK Kim, KH Oh, KW Joo, YS Kim, ... Clinical Journal of the American Society of Nephrology 16 (3), 396-406, 2021 | 51 | 2021 |
| 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 | 35 | 2021 |
| Unsupervised domain adaptation for one-stage object detector using offsets to bounding box J Yoo, I Chung, N Kwak European Conference on Computer Vision, 691-708, 2022 | 12 | 2022 |
| Dynamic collective intelligence learning: Finding efficient sparse model via refined gradients for pruned weights J Kim, J Yoo, Y Song, KY Yoo, N Kwak arXiv preprint arXiv:2109.04660, 2021 | 5 | 2021 |
| 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 |
| ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open Vocabulary Object Detection J Jeong, G Park, J Yoo, H Jung, H Kim The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), 2023 | 2 | 2023 |
| Exploiting inter-pixel correlations in unsupervised domain adaptation for semantic segmentation I Chung, J Yoo, N Kwak Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 2 | 2023 |
| SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning JH Lee, J Yoo, N Kwak Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering S Seo, Y Chang, J Yoo, S Lee, H Lee, N Kwak arXiv preprint arXiv:2403.10906, 2024 | | 2024 |
| Mitigating the Bias in the Model for Continual Test-Time Adaptation I Chung, K Hwang, J Yoo, N Kwak arXiv preprint arXiv:2403.01344, 2024 | | 2024 |
| What, How, and When Should Object Detectors Update in Continually Changing Test Domains? J Yoo, D Lee, I Chung, D Kim, N Kwak arXiv preprint arXiv:2312.08875, 2023 | | 2023 |
| Finding Efficient Pruned Network via Refined Gradients for Pruned Weights J Kim, J Yoo, Y Song, KY Yoo, N Kwak Proceedings of the 31st ACM International Conference on Multimedia, 9003-9011, 2023 | | 2023 |
| Continual Test-Time Adaptation by Leveraging Source Prototypes and Exponential Moving Average Target Prototypes I Chung, K Hwang, J Yoo, N Kwak | | 2023 |
| Enforcing zero-Hessian in meta-learning JH Lee, J Yoo, N Kwak | | 2022 |
Nojun KwakProfessor, Department of Intelligence and Information, Seoul National UniversityVerified email at snu.ac.kr
