Jesús Malo

Orcid: 0000-0002-5684-8591

According to our database1, Jesús Malo authored at least 63 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Cortical Divisive Normalization from Wilson-Cowan Neural Dynamics.
J. Nonlinear Sci., April, 2024

Functional connectivity via total correlation: Analytical results in visual areas.
Neurocomputing, February, 2024

2023
Neural networks with divisive normalization for image segmentation.
Pattern Recognit. Lett., September, 2023

Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data.
CoRR, 2023

What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics.
CoRR, 2023

Disentangling the Link Between Image Statistics and Human Perception.
CoRR, 2023

Analysis of Deep Image Quality Models.
CoRR, 2023

2022
Functional Connectome of the Human Brain with Total Correlation.
Entropy, December, 2022

Information Flow in Biological Networks for Color Vision.
Entropy, 2022

Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset.
CoRR, 2022

Paraphrasing Magritte's Observation.
CoRR, 2022

On the relation between statistical learning and perceptual distances.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Orthonormal Convolutions for the Rotation Based Iterative Gaussianization.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2020
Information Theory in Density Destructors.
CoRR, 2020

Information Theory Measures via Multidimensional Gaussianization.
CoRR, 2020

Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance.
Proceedings of the IEEE International Conference on Image Processing, 2020

Canonical Retina-to-Cortex Vision Model Ready for Automatic Differentiation.
Proceedings of the Brain Informatics - 13th International Conference, 2020

2019
Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications.
CoRR, 2019

Synthesizing Visual Illusions Using Generative Adversarial Networks.
CoRR, 2019

2016
Regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2016

Sequential Principal Curves Analysis.
CoRR, 2016

Image Denoising with Kernels based on Natural Image Relations.
CoRR, 2016

2015
Dimensionality Reduction via Regression in Hyperspectral Imagery.
IEEE J. Sel. Top. Signal Process., 2015

Geometrical and statistical properties of vision models obtained via maximum differentiation.
Proceedings of the Human Vision and Electronic Imaging XX, 2015

2014
The Role of Spatial Information in Disentangling the Irradiance-Reflectance-Transmittance Ambiguity.
IEEE Trans. Geosci. Remote. Sens., 2014

Principal Polynomial Analysis.
Int. J. Neural Syst., 2014

Dimensionality reduction via regression on hyperspectral infrared sounding data.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Lossless coding of hyperspectral images with principal polynomial analysis.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Graph Matching for Adaptation in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2013

Kernel Structural SIMIlarity on hyperspectral images.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Chromatic induction and contrast masking: similar models, different goals?
Proceedings of the Human Vision and Electronic Imaging XVIII, 2013

Visual discrimination and adaptation using non-linear unsupervised learning.
Proceedings of the Human Vision and Electronic Imaging XVIII, 2013

2012
Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis.
Neural Comput., 2012

Nonlinear data description with Principal Polynomial Analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

2011
Remote Sensing Image Processing
Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers, ISBN: 978-3-031-02247-0, 2011

Iterative Gaussianization: From ICA to Random Rotations.
IEEE Trans. Neural Networks, 2011

Graph matching for efficient classifiers adaptation.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Principal polynomial analysis for remote sensing data processing.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Complex-Valued Independent Component Analysis of Natural Images.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Psychophysically Tuned Divisive Normalization Approximately Factorizes the PDF of Natural Images.
Neural Comput., 2010

Image Denoising with Kernels Based on Natural Image Relations.
J. Mach. Learn. Res., 2010

Estimating biophysical variable dependences with kernels.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
FaTLease: scalable fault-tolerant lease negotiation with Paxos.
Clust. Comput., 2009

Visual Cortex Performs a Sort of Non-linear ICA.
Proceedings of the Advances in Nonlinear Speech Processing, 2009

PCA Gaussianization for image processing.
Proceedings of the International Conference on Image Processing, 2009

2008
On the Suitable Domain for SVM Training in Image Coding.
J. Mach. Learn. Res., 2008

The XtreemFS architecture - a case for object-based file systems in Grids.
Concurr. Comput. Pract. Exp., 2008

Striping without Sacrifices: Maintaining POSIX Semantics in a Parallel File System.
Proceedings of the First USENIX Workshop on Large-Scale Computing, 2008

Recovering wavelet relations using SVM for image denoising.
Proceedings of the International Conference on Image Processing, 2008

2007
Increasing Parallelism for Workflows in the Grid.
Proceedings of the Euro-Par 2007, 2007

2006
Nonlinear image representation for efficient perceptual coding.
IEEE Trans. Image Process., 2006

Regularization operators for natural images based on nonlinear perception models.
IEEE Trans. Image Process., 2006

2005
Perceptual adaptive insensitivity for support vector machine image coding.
IEEE Trans. Neural Networks, 2005

2003
Linear transform for simultaneous diagonalization of covariance and perceptual metric matrix in image coding.
Pattern Recognit., 2003

Perceptual regularization functionals for natural image restoration.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Video quality measures based on the standard spatial observer.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
Perceptual feedback in multigrid motion estimation using an improved DCT quantization.
IEEE Trans. Image Process., 2001

2000
The role of perceptual contrast non-linearities in image transform quantization.
Image Vis. Comput., 2000

Non-linear Invertible Representation for Joint Statistical and Perceptual Feature Decorrelation.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

Perceptually and Statistically Decorrelated Features for Image Representation: Application to Transform Coding.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1998
Variable-size block matching algorithm for motion estimation using a perceptual-based splitting criterion.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1997
Subjective image fidelity metric based on bit allocation of the human visual system in the DCT domain.
Image Vis. Comput., 1997

Adaptive Motion Estimation and Video Vector Quantization Based on Spatiotemporal Non-linearities of Human Perception.
Proceedings of the Image Analysis and Processing, 9th International Conference, 1997


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