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11/26/2021
Disentangled Unsupervised Image Translation via Restricted Information Flow
Unsupervised image-to-image translation methods aim to map images from o...
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08/10/2021
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
Recently, huge strides were made in monocular and multi-view pose estima...
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07/23/2021
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data
Progress in machine learning is typically measured by training and testi...
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03/29/2021
Evaluation of Correctness in Unsupervised Many-to-Many Image Translation
Given an input image from a source domain and a "guidance" image from a ...
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03/26/2020
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
Unsupervised distribution alignment has many applications in deep learni...
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08/05/2019
Adversarial Self-Defense for Cycle-Consistent GANs
The goal of unsupervised image-to-image translation is to map images fro...
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01/28/2019
PuppetGAN: Transferring Disentangled Properties from Synthetic to Real Images
In this work we propose a model that enables controlled manipulation of ...
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01/28/2019
Cross-Domain Image Manipulation by Demonstration
In this work we propose a model that can manipulate individual visual at...
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06/26/2018
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation
Unsupervised transfer of object recognition models from synthetic to rea...
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06/10/2018
Unsupervised Video-to-Video Translation
Unsupervised image-to-image translation is a recently proposed task of t...
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10/18/2017
VisDA: The Visual Domain Adaptation Challenge
We present the 2017 Visual Domain Adaptation (VisDA) dataset and challen...
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07/13/2017
Stable Distribution Alignment Using the Dual of the Adversarial Distance
Methods that align distributions by minimizing an adversarial distance b...
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02/24/2015
