Edgar A. Bernal

Orcid: 0000-0002-5732-065X

According to our database1, Edgar A. Bernal authored at least 39 papers between 2012 and 2023.

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Bibliography

2023
Machine learning the real discriminant locus.
J. Symb. Comput., 2023

Manifold Regularization for Memory-Efficient Training of Deep Neural Networks.
CoRR, 2023

2022
Computer vision-based classification of schizophrenia patients from retinal imagery.
Proceedings of the Image Processing: Algorithms and Systems XX, 2022

2021
Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization.
CoRR, 2021

Breast Cancer Tissue Sub-Region Classification from Second Harmonic Generation Imagery via Machine Learning.
Proceedings of the Image Processing: Algorithms and Systems XIX, 2021

Training Deep Generative Models in Highly Incomplete Data Scenarios With Prior Regularization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
McFlow: Monte Carlo Flow Models for Data Imputation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Coupling Deep Discriminative and Generative Models for Reactive Robot Planning in Human-Robot Collaboration.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Foreground-Aware Statistical Models for Background Estimation.
Proceedings of the Intelligent Robotics and Industrial Applications using Computer Vision 2019, 2019

Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Surrogate Contrastive Network for Supervised Band Selection in Multispectral Computer Vision Tasks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Deep Temporal Multimodal Fusion for Medical Procedure Monitoring Using Wearable Sensors.
IEEE Trans. Multim., 2018

Towards Robust Deep Neural Networks.
CoRR, 2018

The Loss Surface of XOR Artificial Neural Networks.
CoRR, 2018

Generative Adversarial Networks for Depth Map Estimation From RGB Video.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Tensorial compressive sensing of jointly sparse matrices with applications to color imaging.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Multimodal Representation Learning from Temporal Data.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

An Algorithm for Parallel Reconstruction of Jointly Sparse Tensors with Applications to Hyperspectral Imaging.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Hybrid tenso-vectorial compressive sensing for hyperspectral imaging.
J. Electronic Imaging, 2016

Scene-independent feature- and classifier-based vehicle headlight and shadow removal in video sequences.
Proceedings of the 2016 IEEE Winter Applications of Computer Vision Workshops, 2016

Model-less and model-based computationally efficient motion estimation for video compression in transportation applications.
Proceedings of the 2016 IEEE Winter Applications of Computer Vision Workshops, 2016

A study on the discriminability of facs from spontaneous facial expressions.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Static Occlusion Detection and Handling in Transportation Videos.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Hybrid vectorial and tensorial Compressive Sensing for hyperspectral imaging.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

On-the-fly hand detection training with application in egocentric action recognition.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014
Parametrically controlled stochastically seeded clustered halftones: design strategies and applications.
J. Electronic Imaging, 2014

Two algorithms for compressed sensing of sparse tensors.
CoRR, 2014

Estimating Gaze Direction of Vehicle Drivers Using a Smartphone Camera.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Non contact monitoring of respiratory function via depth sensing.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
Computer vision in roadway transportation systems: a survey.
J. Electronic Imaging, 2013

Video-based real-time on-street parking occupancy detection system.
J. Electronic Imaging, 2013

Efficient processing of transportation surveillance videos in the compressed domain.
J. Electronic Imaging, 2013

Parking lot occupancy determination from lamp-post camera images.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Monocular vision-based vehicular speed estimation from compressed video streams.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Vehicle-triggered video compression/decompression for fast and efficient searching in large video databases.
Proceedings of the Video Surveillance and Transportation Imaging Applications 2013, 2013

2012
Survey of computer vision in roadway transportation systems.
Proceedings of the Visual Information Processing and Communication III, 2012

Tire classification from still images and video.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Parametrically controlled, stochastically seeded clustered halftones.
Proceedings of the Color Imaging XVII: Displaying, 2012


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