| 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 | 712 | 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 | 328 | 2020 |
| Deep 3D face identification D Kim, M Hernandez, J Choi, G Medioni 2017 IEEE international joint conference on biometrics (IJCB), 133-142, 2017 | 148 | 2017 |
| 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, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 111* | 2023 |
| 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 | 89* | 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 | 79 | 2021 |
| 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 | 62 | 2021 |
| 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 | 62 | 2018 |
| A broad study of pre-training for domain generalization and adaptation D Kim, K Wang, S Sclaroff, K Saenko European Conference on Computer Vision, 621-638, 2022 | 60 | 2022 |
| Openmatch: Open-set consistency regularization for semi-supervised learning with outliers K Saito, D Kim, K Saenko arXiv preprint arXiv:2105.14148, 2021 | 54 | 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 | 40 | 2021 |
| Teaching structured vision & language concepts to vision & language models S Doveh, A Arbelle, S Harary, E Schwartz, R Herzig, R Giryes, R Feris, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 39 | 2023 |
| 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 | 37 | 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 | 33 | 2020 |
| Going beyond nouns with vision & language models using synthetic data P Cascante-Bonilla, K Shehada, JS Smith, S Doveh, D Kim, R Panda, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 32 | 2023 |
| 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 | 25 | 2021 |
| A unified framework for domain adaptive pose estimation D Kim, K Wang, K Saenko, M Betke, S Sclaroff European Conference on Computer Vision, 603-620, 2022 | 23 | 2022 |
| Dense and aligned captions (dac) promote compositional reasoning in vl models S Doveh, A Arbelle, S Harary, R Herzig, D Kim, P Cascante-Bonilla, ... Advances in Neural Information Processing Systems 36, 2024 | 19 | 2024 |
| 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 | 15 | 2022 |
| Construct-vl: Data-free continual structured vl concepts learning JS Smith, P Cascante-Bonilla, A Arbelle, D Kim, R Panda, D Cox, D Yang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
Kate SaenkoBoston University在 bu.edu 的电子邮件经过验证
