Abraham Montoya Obeso

Orcid: 0000-0001-7090-1048

According to our database1, Abraham Montoya Obeso authored at least 10 papers between 2017 and 2022.

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

Timeline

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In proceedings 
Article 
PhD thesis 
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Bibliography

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

2020
Recognition of Mexican cultural content with Deep learning networks. (Reconnaissance du patrimoine Mexicaine sous forme numérique par des réseaux d'apprentissage profond).
PhD thesis, 2020

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
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

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


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