| VisDA: The visual domain adaptation challenge X Peng, B Usman, N Kaushik, J Hoffman, D Wang, K Saenko Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 1092* | 2017 |
| Syn2Real: A new benchmark for synthetic-to-real visual domain adaptation X Peng, B Usman, K Saito, N Kaushik, J Hoffman, K Saenko arXiv preprint arXiv:1806.09755, 2018 | 100 | 2018 |
| Adversarial Self-Defense for Cycle-Consistent GANs D Bashkirova, B Usman, K Saenko Proceedings of the 31st International Conference on Neural Information …, 2019 | 51 | 2019 |
| Unsupervised video-to-video translation D Bashkirova, B Usman, K Saenko arXiv preprint arXiv:1806.03698, 2018 | 32 | 2018 |
| Metapose: Fast 3d pose from multiple views without 3d supervision B Usman, A Tagliasacchi, K Saenko, A Sud Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
| PuppetGAN: Cross-domain image manipulation by demonstration B Usman, N Dufour, K Saenko, C Bregler Proceedings of the IEEE International Conference on Computer Vision, 9450-9458, 2019 | 27 | 2019 |
| VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data D Bashkirova, D Hendrycks, D Kim, S Mishra, K Saenko, K Saito, ... Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021 | 19 | 2021 |
| Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment B Usman, N Dufour, A Sud, K Saenko Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020 | 13 | 2020 |
| Evaluation of correctness in unsupervised many-to-many image translation D Bashkirova, B Usman, K Saenko Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 5 | 2022 |
| FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion G Cazenavette, A Sud, T Leung, B Usman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Stable distribution alignment using the dual of the adversarial distance B Usman, K Saenko, B Kulis International Conference on Learning Representations (Workshop), 2018 | 4 | 2018 |
| Tensor simrank for heterogeneous information networks B Usman, I Oseledets arXiv preprint arXiv:1502.06818, 2015 | 4 | 2015 |
| RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow B Usman, D Bashkirova, K Saenko Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 2* | 2023 |
| Performance of Complex Optimization Tasks with Improved Efficiency Via Neural Meta-Optimization of Experts A Sud, A Tagliasacchi, B Usman US Patent App. 17/870,462, 2023 | 1 | 2023 |
| Towards Practical Non-Adversarial Distribution Matching Z Gong, B Usman, H Zhao, DI Inouye International Conference on Artificial Intelligence and Statistics, 4276-4284, 2024 | | 2024 |
| Manipulating natural images by learning relationships between visual domains B Usman Boston University, 2022 | | 2022 |
Kate SaenkoBoston UniversityEmail verificata su bu.edu