Ben Usman

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 23

Top Topics

Consistency Constraints

Information Flow

Unsupervised Manner

Domain Adaptation

Top Venues

Publications

Ziyu Gong, Ben Usman, Han Zhao, David I. Inouye
Towards Practical Non-Adversarial Distribution Matching. AISTATS (2024)
George Cazenavette, Avneesh Sud, Thomas Leung, Ben Usman
FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion. CoRR (2024)
Ziyu Gong, Ben Usman, Han Zhao, David I. Inouye
Towards Practical Non-Adversarial Distribution Alignment via Variational Bounds. CoRR (2023)
Ben Usman, Dina Bashkirova, Kate Saenko
RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow. WACV (2023)
Dina Bashkirova, Ben Usman, Kate Saenko
Evaluation of Correctness in Unsupervised Many-to-Many Image Translation. WACV (2022)
Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. CVPR (2022)
Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. CoRR (2021)
Dina Bashkirova, Ben Usman, Kate Saenko
Evaluation of Correctness in Unsupervised Many-to-Many Image Translation. CoRR (2021)
Ben Usman, Dina Bashkirova, Kate Saenko
Disentangled Unsupervised Image Translation via Restricted Information Flow. CoRR (2021)
Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. CoRR (2021)
Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman
VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. NeurIPS (Competition and Demos) (2021)
Ben Usman, Nick Dufour, Avneesh Sud, Kate Saenko
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment. CoRR (2020)
Ben Usman, Avneesh Sud, Nick Dufour, Kate Saenko
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment. NeurIPS (2020)
Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler
PuppetGAN: Cross-Domain Image Manipulation by Demonstration. ICCV (2019)
Dina Bashkirova, Ben Usman, Kate Saenko
Adversarial Self-Defense for Cycle-Consistent GANs. NeurIPS (2019)
Dina Bashkirova, Ben Usman, Kate Saenko
Adversarial Self-Defense for Cycle-Consistent GANs. CoRR (2019)
Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler
PuppetGAN: Transferring Disentangled Properties from Synthetic to Real Images. CoRR (2019)
Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko
VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. CVPR Workshops (2018)
Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation. CoRR (2018)
Dina Bashkirova, Ben Usman, Kate Saenko
Unsupervised Video-to-Video Translation. CoRR (2018)
Ben Usman, Kate Saenko, Brian Kulis
Stable Distribution Alignment Using the Dual of the Adversarial Distance. ICLR (Workshop) (2018)
Ben Usman, Kate Saenko, Brian Kulis
Stable Distribution Alignment Using the Dual of the Adversarial Distance. CoRR (2017)
Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko
VisDA: The Visual Domain Adaptation Challenge. CoRR (2017)
Ben Usman, Ivan V. Oseledets
Tensor SimRank for Heterogeneous Information Networks. CoRR (2015)