Mariano Rivera

Orcid: 0000-0002-3211-2467

According to our database1, Mariano Rivera authored at least 65 papers between 2000 and 2023.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
EXTRACTER: Efficient Texture Matching with Attention and Gradient Enhancing for Large Scale Image Super Resolution.
CoRR, 2023

GAMIX-VAE: A VAE with Gaussian Mixture Based Posterior.
CoRR, 2023

Attentive VQ-VAE.
CoRR, 2023

Hadamard Layer to Improve Semantic Segmentation in Medical Images.
Proceedings of the Pattern Recognition - 15th Mexican Conference, 2023

Hadamard Layer to Improve Semantic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Deep Variational Method with Attention for High-Definition Face Generation.
Proceedings of the Pattern Recognition - 14th Mexican Conference, 2022

2021
AxonNet: A self-supervised Deep Neural Network for Intravoxel Structure Estimation from DW-MRI.
CoRR, 2021

W-net: A Convolutional Neural Network for Retinal Vessel Segmentation.
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

2020
Panorama construction using binary trees.
Signal Image Video Process., 2020

ModuleNet: A Convolutional Neural Network for Stereo Vision.
Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020

2019
Deep neural network for fringe pattern filtering and normalisation.
CoRR, 2019

2017
Half-quadratic transportation problems.
CoRR, 2017

2016
On the computation of integrals over fixed-size rectangles of arbitrary dimension.
Pattern Recognit. Lett., 2016

2015
Binary Segmentation of Multiband Images.
Res. Comput. Sci., 2015

Motion priors for multiple target visual tracking.
Mach. Vis. Appl., 2015

Sparse and Adaptive Diffusion Dictionary (SADD) for recovering intra-voxel white matter structure.
Medical Image Anal., 2015

AVScreen: a real-time video augmentation method.
J. Real Time Image Process., 2015

2014
Quantitative Comparison of Reconstruction Methods for Intra-Voxel Fiber Recovery From Diffusion MRI.
IEEE Trans. Medical Imaging, 2014

Change detection by probabilistic segmentation from monocular view.
Mach. Vis. Appl., 2014

A flocking based method for brain tractography.
Medical Image Anal., 2014

Standardized evaluation methodology and reference database for evaluating IVUS image segmentation.
Comput. Medical Imaging Graph., 2014

2013
Segmentation of the luminal border in intravascular ultrasound B-mode images using a probabilistic approach.
Medical Image Anal., 2013

Multi-Tensor Field spectral segmentation for white matter fiber bundle classification.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Self-oriented Diffusion Basis Functions for white matter structure estimation.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Variational Viewpoint of the Quadratic Markov Measure Field Models: Theory and Algorithms.
IEEE Trans. Image Process., 2012

Spatial Sampling for Image Segmentation.
Comput. J., 2012

2011
Alpha Markov Measure Field model for probabilistic image segmentation.
Theor. Comput. Sci., 2011

Variational Multi-Valued Velocity Field Estimation for Transparent Sequences.
J. Math. Imaging Vis., 2011

Learning and Regularizing Motion Models for Enhancing Particle Filter-Based Target Tracking.
Proceedings of the Advances in Image and Video Technology - 5th Pacific Rim Symposium, 2011

Improved Diffusion Basis Functions Fitting and Metric Distance for Brain Axon Fiber Estimation.
Proceedings of the Advances in Image and Video Technology - 5th Pacific Rim Symposium, 2011

Multiple Target Tracking with Motion Priors.
Proceedings of the Advances in Soft Computing, 2011

2010
Registration and interactive planar segmentation for stereo images of polyhedral scenes.
Pattern Recognit., 2010

Bayesian Scheme for Interactive Colourization, Recolourization and Image/Video Editing.
Comput. Graph. Forum, 2010

Robust Spatial Regularization and Velocity Layer Separation for Optical Flow Computation on Transparent Sequences.
Proceedings of the Advances in Artificial Intelligence, 2010

Binary Segmentation of Video Sequences in Real Time.
Proceedings of the 9th Mexican International Conference on Artificial Intelligence, 2010

Beta-Measure for Probabilistic Segmentation.
Proceedings of the Advances in Artificial Intelligence, 2010

One Trilateral Filter Based on Surface Normal.
Proceedings of the Advances in Artificial Intelligence, 2010

Massive Particles for Brain Tractography.
Proceedings of the Advances in Artificial Intelligence, 2010

Optical Flow Estimation with Prior Models Obtained from Phase Correlation.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Spatial Sampling for Image Segmentation.
Proceedings of the Computer and Information Sciences, 2010

2009
Denoising Intra-voxel Axon Fiber Orientations by Means of ECQMMF Method.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

A General Bayesian Markov Random Field Model for Probabilistic Image Segmentation.
Proceedings of the Combinatorial Image Analysis, 13th International Workshop, 2009

2008
Image segmentation by convex quadratic programming.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Robust regularization for the estimation of intra-voxel axon fiber orientations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

A probabilistic segmentation method for the identification of luminal borders in intravascular ultrasound images.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Diffusion Basis Functions Decomposition for Estimating White Matter Intravoxel Fiber Geometry.
IEEE Trans. Medical Imaging, 2007

Entropy-Controlled Quadratic Markov Measure Field Models for Efficient Image Segmentation.
IEEE Trans. Image Process., 2007

A Variational Approach for Multi-valued Velocity Field Estimation in Transparent Sequences.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Quadratic Markovian Probability Fields for Image Binary Segmentation.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Computing the Alpha-Channel with Probabilistic Segmentation for Image Colorization.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Surface-Normal Estimation with Neighborhood Reorganization for 3D Reconstruction.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Basis Tensor Decomposition for Restoring Intra-Voxel Structure and Stochastic Walks for Inferring Brain Connectivity in DT-MRI.
Int. J. Comput. Vis., 2006

Probabilistic Rules for Automatic Texture Segmentation.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

2005
Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision.
Proceedings of the Variational, 2005

Basis Pursuit Based Algorithm for Intra-Voxel Recovering Information in DW-MRI..
Proceedings of the Sixth Mexican International Conference on Computer Science (ENC 2005), 2005

2004
Two--level MRF Models for Image Restoration and Segmentation.
Proceedings of the British Machine Vision Conference, 2004

2003
Efficient half-quadratic regularization with granularity control.
Image Vis. Comput., 2003

A method for non-rigid registration of diffusion tensor magnetic resonance images.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002
Adaptive Rest Condition Potentials: First and Second Order Edge-Preserving Regularization.
Comput. Vis. Image Underst., 2002

Novel spatial interaction prior for Bayesian image segmentation and restoration.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Non-rigid registration of diffusion tensor MR images.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization.
Proceedings of the Computer Vision, 2002

Image Segmentation by Flexible Models Based on Robust Regularized Networks.
Proceedings of the Computer Vision, 2002

2001
Gauss-Markov Measure Field Models for Low-Level Vision.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

2000
The Adaptive Rest Condition Spring System: An Edge-Preserving Regularization Techique.
Proceedings of the 2000 International Conference on Image Processing, 2000


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