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08/05/2023
Blind Motion Deblurring with Pixel-Wise Kernel Estimation via Kernel Prediction Networks
In recent years, the removal of motion blur in photographs has seen impr...
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11/22/2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
In this work we propose a non-contrastive method for anomaly detection a...
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09/26/2022
Rethinking Motion Deblurring Training: A Segmentation-Based Method for Simulating Non-Uniform Motion Blurred Images
Successful training of end-to-end deep networks for real motion deblurri...
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10/05/2021
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection
Anomalies can be defined as any non-random structure which deviates from...
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02/01/2021
Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition
Characterizing and removing motion blur caused by camera shake or object...
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11/14/2019
Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior
In this paper we address the problem of solving ill-posed inverse proble...
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12/05/2017
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning
Deep neural networks trained using a softmax layer at the top and the cr...
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06/10/2017
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging
Recently, impressive denoising results have been achieved by Bayesian ap...
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11/25/2013
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching
Graph matching is a challenging problem with very important applications...
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10/13/2012
On the Role of Contrast and Regularity in Perceptual Boundary Saliency
Mathematical Morphology proposes to extract shapes from images as connec...
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09/28/2012