| Semi-supervised domain adaptation via minimax entropy K Saito, D Kim, S Sclaroff, T Darrell, K Saenko Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 410 | 2019 |
| Universal domain adaptation through self supervision K Saito, D Kim, S Sclaroff, K Saenko Advances in neural information processing systems 33, 16282-16292, 2020 | 153 | 2020 |
| Deep 3D face identification D Kim, M Hernandez, J Choi, G Medioni 2017 IEEE international joint conference on biometrics (IJCB), 133-142, 2017 | 120 | 2017 |
| Excitation backprop for RNNs SA Bargal, A Zunino, D Kim, J Zhang, V Murino, S Sclaroff Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 50 | 2018 |
| Cds: Cross-domain self-supervised pre-training D Kim, K Saito, TH Oh, BA Plummer, S Sclaroff, K Saenko Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 48* | 2021 |
| Learning cross-modal contrastive features for video domain adaptation D Kim, YH Tsai, B Zhuang, X Yu, S Sclaroff, K Saenko, M Chandraker Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 35 | 2021 |
| Mule: Multimodal universal language embedding D Kim, K Saito, K Saenko, S Sclaroff, B Plummer Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11254 …, 2020 | 32 | 2020 |
| Learning to scale multilingual representations for vision-language tasks A Burns, D Kim, D Wijaya, K Saenko, BA Plummer Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 29 | 2020 |
| Openmatch: Open-set semi-supervised learning with open-set consistency regularization K Saito, D Kim, K Saenko Advances in Neural Information Processing Systems 34, 25956-25967, 2021 | 15 | 2021 |
| Self-supervised visual attribute learning for fashion compatibility D Kim, K Saito, S Mishra, S Sclaroff, K Saenko, BA Plummer Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 15 | 2021 |
| Tune it the right way: Unsupervised validation of domain adaptation via soft neighborhood density K Saito, D Kim, P Teterwak, S Sclaroff, T Darrell, K Saenko Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 14 | 2021 |
| Openmatch: Open-set consistency regularization for semi-supervised learning with outliers K Saito, D Kim, K Saenko arXiv preprint arXiv:2105.14148, 2021 | 13 | 2021 |
| A broad study of pre-training for domain generalization and adaptation D Kim, K Wang, S Sclaroff, K Saenko Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 10 | 2022 |
| Accurate 3D face modeling and recognition from RGB-D stream in the presence of large pose changes D Kim, J Choi, JT Leksut, G Medioni 2016 IEEE International Conference on Image Processing (ICIP), 3011-3015, 2016 | 9 | 2016 |
| VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data D Bashkirova, D Hendrycks, D Kim, H Liao, S Mishra, C Rajagopalan, ... NeurIPS 2021 Competitions and Demonstrations Track, 66-79, 2022 | 7 | 2022 |
| A unified framework for domain adaptive pose estimation D Kim, K Wang, K Saenko, M Betke, S Sclaroff Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 3 | 2022 |
| Multi-way encoding for robustness D Kim, S Bargal, J Zhang, S Sclaroff Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 3* | 2020 |
| MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention D Kim, T Lan, C Zou, N Xu, BA Plummer, S Sclaroff, J Eledath, G Medioni Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 1 | 2021 |
| Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation K Wang, D Kim, R Feris, K Saenko, M Betke arXiv preprint arXiv:2211.14703, 2022 | | 2022 |
| CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning JS Smith, L Karlinsky, V Gutta, P Cascante-Bonilla, D Kim, A Arbelle, ... arXiv preprint arXiv:2211.13218, 2022 | | 2022 |
Kate SaenkoBoston UniversityBestätigte E-Mail-Adresse bei bu.edu
