Jesus Malo

Affiliations: 
Image Processing Lab School of Physics. Universitat de Valencia, Valencia, Comunidad Valenciana, Spain 
Area:
models of low-level human vision
Website:
http://www.uv.es/jmalo
Google:
"Jesus Malo"
Mean distance: 14.8 (cluster 29)
 
SNBCP
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Gomez-Villa A, Martín A, Vazquez-Corral J, et al. (2020) Color illusions also deceive CNNs for low-level vision tasks: Analysis and implications. Vision Research. 176: 156-174
Gomez Villa A, Bertalmío M, Malo J. (2020) Visual Information flow in Wilson-Cowan networks. Journal of Neurophysiology
Martinez-Garcia M, Bertalmío M, Malo J. (2019) In Praise of Artifice Reloaded: Caution With Natural Image Databases in Modeling Vision. Frontiers in Neuroscience. 13: 8
Martinez-Garcia M, Cyriac P, Batard T, et al. (2018) Derivatives and inverse of cascaded linear+nonlinear neural models. Plos One. 13: e0201326
Amrani N, Serra-Sagrista J, Laparra V, et al. (2016) Regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data Ieee Transactions On Geoscience and Remote Sensing. 54: 5616-5627
Laparra V, Malo J. (2015) Visual aftereffects and sensory nonlinearities from a single statistical framework. Frontiers in Human Neuroscience. 9: 557
Malo J, Simoncelliy EP. (2015) Geometrical and statistical properties of vision models obtained via MAximum Differentiation Proceedings of Spie - the International Society For Optical Engineering. 9394
Laparra V, Malo J, Camps-Valls G. (2015) Dimensionality reduction via regression in hyperspectral imagery Ieee Journal On Selected Topics in Signal Processing. 9: 1026-1036
Laparra V, Jiménez S, Tuia D, et al. (2014) Principal polynomial analysis. International Journal of Neural Systems. 24: 1440007
Gutmann MU, Laparra V, Hyvärinen A, et al. (2014) Spatio-chromatic adaptation via higher-order canonical correlation analysis of natural images. Plos One. 9: e86481
See more...