Search Results for author: Ben Usman

Found 15 papers, 8 papers with code

FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion

no code implementations CVPR 2024 George Cazenavette, Avneesh Sud, Thomas Leung, Ben Usman

Due to the high potential for abuse of GenAI systems, the task of detecting synthetic images has recently become of great interest to the research community.

Image Retrieval

Towards Practical Non-Adversarial Distribution Matching

no code implementations30 Oct 2023 Ziyu Gong, Ben Usman, Han Zhao, David I. Inouye

Distribution matching can be used to learn invariant representations with applications in fairness and robustness.

Fairness Representation Learning

Disentangled Unsupervised Image Translation via Restricted Information Flow

no code implementations26 Nov 2021 Ben Usman, Dina Bashkirova, Kate Saenko

Unsupervised image-to-image translation methods aim to map images from one domain into plausible examples from another domain while preserving structures shared across two domains.

Attribute Translation +1

MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision

1 code implementation CVPR 2022 Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud

In the era of deep learning, human pose estimation from multiple cameras with unknown calibration has received little attention to date.

Weakly-supervised 3D Human Pose Estimation

Evaluation of Correctness in Unsupervised Many-to-Many Image Translation

1 code implementation29 Mar 2021 Dina Bashkirova, Ben Usman, Kate Saenko

Given an input image from a source domain and a guidance image from a target domain, unsupervised many-to-many image-to-image (UMMI2I) translation methods seek to generate a plausible example from the target domain that preserves domain-invariant information of the input source image and inherits the domain-specific information from the guidance image.

Translation

Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment

1 code implementation NeurIPS 2020 Ben Usman, Avneesh Sud, Nick Dufour, Kate Saenko

We show that, under certain assumptions, this combination yields a deep neural likelihood-based minimization objective that attains a known lower bound upon convergence.

Domain Adaptation Translation +1

PuppetGAN: Cross-Domain Image Manipulation by Demonstration

1 code implementation ICCV 2019 Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler

In this work we propose a model that can manipulate individual visual attributes of objects in a real scene using examples of how respective attribute manipulations affect the output of a simulation.

Attribute Image Manipulation

Adversarial Self-Defense for Cycle-Consistent GANs

1 code implementation NeurIPS 2019 Dina Bashkirova, Ben Usman, Kate Saenko

The goal of unsupervised image-to-image translation is to map images from one domain to another without the ground truth correspondence between the two domains.

Adversarial Attack Translation +1

Cross-Domain Image Manipulation by Demonstration

no code implementations28 Jan 2019 Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler

In this work we propose a model that can manipulate individual visual attributes of objects in a real scene using examples of how respective attribute manipulations affect the output of a simulation.

Attribute Image Manipulation

Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation

no code implementations26 Jun 2018 Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko

In this paper, we present a new large-scale benchmark called Syn2Real, which consists of a synthetic domain rendered from 3D object models and two real-image domains containing the same object categories.

Classification Diversity +6

Unsupervised Video-to-Video Translation

1 code implementation ICLR 2019 Dina Bashkirova, Ben Usman, Kate Saenko

Unsupervised image-to-image translation is a recently proposed task of translating an image to a different style or domain given only unpaired image examples at training time.

Translation Unsupervised Image-To-Image Translation

VisDA: The Visual Domain Adaptation Challenge

2 code implementations18 Oct 2017 Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko

We present the 2017 Visual Domain Adaptation (VisDA) dataset and challenge, a large-scale testbed for unsupervised domain adaptation across visual domains.

General Classification Image Classification +3

Stable Distribution Alignment Using the Dual of the Adversarial Distance

no code implementations ICLR 2018 Ben Usman, Kate Saenko, Brian Kulis

Our empirical results suggest that using the dual formulation for the restricted family of linear discriminators results in a more stable convergence to a desirable solution when compared with the performance of a primal min-max GAN-like objective and an MMD objective under the same restrictions.

Domain Adaptation

Tensor SimRank for Heterogeneous Information Networks

no code implementations24 Feb 2015 Ben Usman, Ivan Oseledets

We propose a generalization of SimRank similarity measure for heterogeneous information networks.

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