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05/19/2023
What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics
In this study, we investigate the feasibility of utilizing state-of-the-...
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03/17/2023
Disentangling the Link Between Image Statistics and Human Perception
In the 1950s Horace Barlow and Fred Attneave suggested a connection betw...
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02/26/2023
Analysis of Deep Image Quality Models
Subjective image quality measures based on deep neural networks are very...
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06/08/2022
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization
In this paper we elaborate an extension of rotation-based iterative Gaus...
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03/25/2022
Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset
One of the key problems in computer vision is adaptation: models are too...
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02/11/2022
Paraphrasing Magritte's Observation
Contrast Sensitivity of the human visual system can be explained from ce...
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06/08/2021
On the relation between statistical learning and perceptual distances
It has been demonstrated many times that the behavior of the human visua...
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12/02/2020
Information Theory in Density Destructors
Density destructors are differentiable and invertible transforms that ma...
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10/08/2020
Information Theory Measures via Multidimensional Gaussianization
Information theory is an outstanding framework to measure uncertainty, d...
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11/21/2019
Synthesizing Visual Illusions Using Generative Adversarial Networks
Visual illusions are a very useful tool for vision scientists, because t...
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10/28/2019
PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance
Traditionally, the vision community has devised algorithms to estimate t...
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06/02/2016
Sequential Principal Curves Analysis
This work includes all the technical details of the Sequential Principal...
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01/31/2016
Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis
Mechanisms of human color vision are characterized by two phenomenologic...
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01/31/2016
Iterative Gaussianization: from ICA to Random Rotations
Most signal processing problems involve the challenging task of multidim...
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01/31/2016
Principal Polynomial Analysis
This paper presents a new framework for manifold learning based on a seq...
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01/31/2016
Image Denoising with Kernels based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian appro...
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01/31/2016
Dimensionality Reduction via Regression in Hyperspectral Imagery
This paper introduces a new unsupervised method for dimensionality reduc...
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10/18/2013