Alejandro Alvaro Ramírez-Acosta

Affiliations:
  • MIRAL R&D&I, San Diego, CA, USA


According to our database1, Alejandro Alvaro Ramírez-Acosta authored at least 24 papers between 2010 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Visual vs internal attention mechanisms in deep neural networks for image classification and object detection.
Pattern Recognit., 2022

2019
Saliency-based selection of visual content for deep convolutional neural networks - Application to architectural style classification.
Multim. Tools Appl., 2019

Organizing Cultural Heritage with Deep Features.
Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents, 2019

Forward-backward visual saliency propagation in Deep NNs vs internal attentional mechanisms.
Proceedings of the Ninth International Conference on Image Processing Theory, 2019

Dropping Activations in Convolutional Neural Networks with Visual Attention Maps.
Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

2018
Optimized robust multi-sensor scheme for simultaneous video and image iris recognition.
Pattern Recognit. Lett., 2018

Comparative study of visual saliency maps in the problem of classification of architectural images with Deep CNNs.
Proceedings of the Eighth International Conference on Image Processing Theory, 2018

Introduction of Explicit Visual Saliency in Training of Deep CNNs: Application to Architectural Styles Classification.
Proceedings of the 2018 International Conference on Content-Based Multimedia Indexing, 2018

2017
Architectural style classification of Mexican historical buildings using deep convolutional neural networks and sparse features.
J. Electronic Imaging, 2017

Semi-Automatic Annotation with Predicted Visual Saliency Maps for Object Recognition in Wearable Video.
Proceedings of the 2017 Workshop on Wearable MultiMedia, 2017

Connoisseur: classification of styles of Mexican architectural heritage with deep learning and visual attention prediction.
Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, 2017

2015
A Comparative Study of Robust Segmentation Algorithms for Iris Verification System of High Reliability.
Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015

Cross-sensor iris verification applying robust fused segmentation algorithms.
Proceedings of the International Conference on Biometrics, 2015

The Mex-Culture Multimedia platform: Preservation and dissemination of the Mexican Culture.
Proceedings of the 13th International Workshop on Content-Based Multimedia Indexing, 2015

2014
Transcoding resilient video watermarking scheme based on spatio-temporal HVS and DCT.
Signal Process., 2014

2013
Video Images Fusion to Improve Iris Recognition Accuracy in Unconstrained Environments.
Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013

2012
Avances en el Reconocimiento del Iris: Perspectivas y Oportunidades en la Investigación de Algoritmos Biométricos.
Computación y Sistemas, 2012

Two Adaptive Methods Based on Edge Analysis for Improved Concealing Damaged Coded Images in Critical Error Situations.
Proceedings of the Advances in Artificial Intelligence, 2012

Adaptive Spatial Concealment of Damaged Coded Images.
Proceedings of the Pattern Recognition - 4th Mexican Conference, 2012

Concealing Damaged Coded Images Using Improved FSE with Critical Support Area.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011
Iris Image Evaluation for Non-cooperative Biometric Iris Recognition System.
Proceedings of the Advances in Soft Computing, 2011

Local Quality Method for the Iris Image Pattern.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
Iris Segmentation Using a Statistical Approach.
Proceedings of the Advances in Pattern Recognition, 2010

Measurement of Defocus Level in Iris Images Using Different Convolution Kernel Methods.
Proceedings of the Advances in Pattern Recognition, 2010


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