Ben Usman
Ben Usman
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Cited by
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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
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
Adversarial Self-Defense for Cycle-Consistent GANs
D Bashkirova, B Usman, K Saenko
Proceedings of the 31st International Conference on Neural Information …, 2019
Unsupervised video-to-video translation
D Bashkirova, B Usman, K Saenko
arXiv preprint arXiv:1806.03698, 2018
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
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
Tensor simrank for heterogeneous information networks
B Usman, I Oseledets
arXiv preprint arXiv:1502.06818, 2015
Stable distribution alignment using the dual of the adversarial distance
B Usman, K Saenko, B Kulis
International Conference on Learning Representations (Workshop), 2018
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
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
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
Disentangled Unsupervised Image Translation via Restricted Information Flow
B Usman, D Bashkirova, K Saenko
arXiv preprint arXiv:2111.13279, 2021
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