Ben Usman

28 papers A* 6A 3Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
A Bias-Free Training Paradigm for More General AI-generated Image Detection.
CVPR
Fabrizio Guillaro, Giada Zingarini, Ben Usman, Avneesh Sud, Davide Cozzolino, Luisa Verdoliva
2024 J jnl
A Bias-Free Training Paradigm for More General AI-generated Image Detection.
CoRR
Fabrizio Guillaro, Giada Zingarini, Ben Usman, Avneesh Sud, Davide Cozzolino, Luisa Verdoliva
2024 A* conf
FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion.
CVPR
George Cazenavette, Avneesh Sud, Thomas Leung, Ben Usman
2024 J jnl
FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion.
CoRR
George Cazenavette, Avneesh Sud, Thomas Leung, Ben Usman
2024 A conf
Towards Practical Non-Adversarial Distribution Matching.
AISTATS
Ziyu Gong, Ben Usman, Han Zhao, David I. Inouye
2023 A conf
RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow.
WACV
Ben Usman, Dina Bashkirova, Kate Saenko
2023 J jnl
Towards Practical Non-Adversarial Distribution Alignment via Variational Bounds.
CoRR
Ziyu Gong, Ben Usman, Han Zhao, David I. Inouye
2022 A conf
Evaluation of Correctness in Unsupervised Many-to-Many Image Translation.
WACV
Dina Bashkirova, Ben Usman, Kate Saenko
2022 — —
Manipulating natural images by learning relationships between visual domains
Ben Usman
2022 A* conf
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision.
CVPR
Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud
2021 J jnl
Disentangled Unsupervised Image Translation via Restricted Information Flow.
CoRR
Ben Usman, Dina Bashkirova, Kate Saenko
2021 J jnl
Evaluation of Correctness in Unsupervised Many-to-Many Image Translation.
CoRR
Dina Bashkirova, Ben Usman, Kate Saenko
2021 J jnl
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision.
CoRR
Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud
2021 J jnl
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data.
CoRR
Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman
2021 — conf
VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data.
NeurIPS (Competition and Demos)
Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman
2020 A* conf
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment.
NeurIPS
Ben Usman, Avneesh Sud, Nick Dufour, Kate Saenko
2020 J jnl
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment.
CoRR
Ben Usman, Nick Dufour, Avneesh Sud, Kate Saenko
2019 A* conf
Adversarial Self-Defense for Cycle-Consistent GANs.
NeurIPS
Dina Bashkirova, Ben Usman, Kate Saenko
2019 J jnl
Adversarial Self-Defense for Cycle-Consistent GANs.
CoRR
Dina Bashkirova, Ben Usman, Kate Saenko
2019 A* conf
PuppetGAN: Cross-Domain Image Manipulation by Demonstration.
ICCV
Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler
2019 J jnl
PuppetGAN: Transferring Disentangled Properties from Synthetic to Real Images.
CoRR
Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler
2018 — conf
Stable Distribution Alignment Using the Dual of the Adversarial Distance.
ICLR (Workshop)
Ben Usman, Kate Saenko, Brian Kulis
2018 J jnl
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation.
CoRR
Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko
2018 J jnl
Unsupervised Video-to-Video Translation.
CoRR
Dina Bashkirova, Ben Usman, Kate Saenko
2018 — conf
VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation.
CVPR Workshops
Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko
2017 J jnl
Stable Distribution Alignment Using the Dual of the Adversarial Distance.
CoRR
Ben Usman, Kate Saenko, Brian Kulis
2017 J jnl
VisDA: The Visual Domain Adaptation Challenge.
CoRR
Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko
2015 J jnl
Tensor SimRank for Heterogeneous Information Networks.
CoRR
Ben Usman, Ivan V. Oseledets