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07/29/2022
High Dynamic Range and Super-Resolution from Raw Image Bursts
Photographs captured by smartphones and mid-range cameras have limited s...
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06/07/2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...
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04/13/2021
Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts
This presentation addresses the problem of reconstructing a high-resolut...
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06/26/2020
Designing and Learning Trainable Priors with Non-Cooperative Games
We introduce a general framework for designing and learning neural netwo...
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12/05/2019
Revisiting Non Local Sparse Models for Image Restoration
We propose a differentiable algorithm for image restoration inspired by ...
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02/09/2019
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions
We propose a GAN design which models multiple distributions effectively ...
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12/19/2018
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
Supervised deep learning algorithms have enabled significant performance...
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12/06/2018
Adversarially Learned Anomaly Detection
Anomaly detection is a significant and hence well-studied problem. Howev...
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07/11/2018
Manifold regularization with GANs for semi-supervised learning
Generative Adversarial Networks are powerful generative models that are ...
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07/07/2018
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
Owing to their connection with generative adversarial networks (GANs), s...
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07/07/2018
Mirror descent in saddle-point problems: Going the extra (gradient) mile
Owing to their connection with generative adversarial networks (GANs), s...
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05/23/2018
Semi-Supervised Learning with GANs: Revisiting Manifold Regularization
GANS are powerful generative models that are able to model the manifold ...
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02/17/2018