Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications. Vision Research.. 2020.
Visual information flow in Wilson-Cowan networks. Journal of Neurophysiology.. 2020.
Convolutional Neural Networks Deceived by Visual Illusions. *Accepted* in Computer Vision and Pattern Recognition (CVPR).. 2019.
Local Denoising Based on Curvature Smoothing can Visually Outperform Non-local Methods on Photographs with Actual Noise. IEEE International Conference on Image Processing.. 2016.
Denoising an Image by Denoising its Components in a Moving Frame. International Conference on Image and Signal Processing (ICISP). *Best Paper Award*.. 2014.
A Decomposition Framework for Image Denoising Algorithms. IEEE Transactions on Image Processing.. 2015.
Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera output. IS&T Electronic Imaging Conference.. 2016.
Enhanced Variational Image Dehazing. SIAM Journal on Imaging Sciences (SIIMS).. 2015.
A variational Framework for Single Image Dehazing. European Conference on Computer Vision Workshops .. 2014.
On the Duality Between Retinex and Image Dehazing. *Accepted* in Computer Vision and Pattern Recognition (CVPR).. 2018.
Automatic, Viewing-condition Dependent Contrast Grading Based on Perceptual Models. Society of Motion Picture & Television Engineers Annual Technical Conference & Exhibition.. 2016.
A Non Local Variational Formulation for the Improvement of Tone Mapped Images. SIAM Journal on Imaging Sciences (SIIMS).. 2014.
Optimized Tone Curve for In-Camera Image Processing. IS&T Electronic Imaging Conference.. 2016.
Vision models fine-tuned by cinema professionals for High Dynamic Range imaging in movies. Multimedia Tools and Applications.. 2020.
A Tone Mapping Operator Based on Neural and Psychophysical Models of Visual Perception. Proc. SPIE Human Vision and Electronic Imaging XX.. 2015.
Perceptual Dynamic Range for In-Camera Image Processing. British Machine Vision Conference (BMVC).. 2015.
A Variational Method for the Optimization of Tone Mapping Operators. 6th Pacific-Rim Symposium on Image and Video Technology, Guanajuato, Mexico.. 2013.
A Contrario Selection of Optimal Partitions for Image Segmentation. SIAM Journal on Imaging Sciences (SIIMS).. 2013.
From Image Processing to Computational Neuroscience: A Neural Model Based on Histogram Equalization. Frontiers in Computational Neuroscience. 8(71). 2014.
A model of color constancy and efficient coding can predict lightness induction. Vision Sciences Society Annual Meeting.. 2014.
Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling. Journal of Mathematical Imaging and Vision.. 2020.
Visual illusions via neural dynamics: Wilson-Cowan-type models and the efficient representation principle. Journal of Neurophysiology.. 2020.
The Wilson-Cowan Model Describes Contrast Response and Subjective Distortion. Vision Sciences Society Annual Meeting.. 2017.