Domain-Specific Batch Normalization for Unsupervised Domain Adaptation WG Chang, T You, S Seo, S Kwak, B Han Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 450 | 2019 |
Learning to Optimize Domain Specific Normalization for Domain Generalization S Seo, Y Suh, D Kim, G Kim, J Han, B Han Proceedings of the European Conference on Computer Vision, 2020 | 238 | 2020 |
URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark S Seo, JY Lee, B Han Proceedings of the European Conference on Computer Vision, 2020 | 121 | 2020 |
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering M Kim, S Seo, B Han Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 112 | 2022 |
Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences S Seo, PH Seo, B Han Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 81 | 2019 |
Unsupervised Learning of Debiased Representations with Pseudo-Attributes S Seo, JY Lee, B Han Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 33 | 2022 |
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation S Seo, JY Lee, B Han Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 12 | 2022 |
Online Backfilling with No Regret for Large-Scale Image Retrieval S Seo, MG Uzunbas, B Han, S Cao, J Zhang, T Tian, SN Lim arXiv preprint arXiv:2301.03767, 2023 | 1 | 2023 |
Relaxed Contrastive Learning for Federated Learning S Seo, J Kim, G Kim, B Han arXiv preprint arXiv:2401.04928, 2024 | | 2024 |
Metric Compatible Training for Online Backfilling in Large-Scale Retrieval S Seo, M Uzunbas, B Han, X Cao, J Zhang, T Tian, SN Lim ICML Workshop on Localized Learning (LLW), 2023 | | 2023 |
Group Robustness via Adaptive Class-Specific Scaling S Seo, B Han | | |
Cross-Modal Prediction Consistency based Self-Training for Unsupervised Domain Adaptation D Kim, G Kim, S Seo, Y Suh, B Han, T Lee, J Han, H Jeon VisDA-19 Challenge Report, 0 | | |