Alexander Gómez

Orcid: 0000-0003-0469-3425

Affiliations:
  • Pompeu Fabra University (UPF), Department of Information and Communication Technologies (DTIC), Barcelona, Spain
  • University of Antioquia (UdeA), SISTEMIC, Medellín, Colombia


According to our database1, Alexander Gómez authored at least 12 papers between 2015 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2019
Camera-trap images segmentation using multi-layer robust principal component analysis.
Vis. Comput., 2019

Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications.
CoRR, 2019

Synthesizing Visual Illusions Using Generative Adversarial Networks.
CoRR, 2019

Convolutional Neural Networks Can Be Deceived by Visual Illusions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Automatic identification of Scenedesmus polymorphic microalgae from microscopic images.
Pattern Anal. Appl., 2018

Convolutional Neural Networks Deceived by Visual Illusions.
CoRR, 2018

Counting Cells in Time-Lapse Microscopy using Deep Neural Networks.
CoRR, 2018

2017
Towards automatic wild animal monitoring: Identification of animal species in camera-trap images using very deep convolutional neural networks.
Ecol. Informatics, 2017

Automatic Recognition of Mammal Genera on Camera-Trap Images using Multi-Layer Robust Principal Component Analysis and Mixture Neural Networks.
CoRR, 2017

Recognition of Mammal Genera on Camera-Trap Images Using Multi-layer Robust Principal Component Analysis and Mixture Neural Networks.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
Animal Identification in Low Quality Camera-Trap Images Using Very Deep Convolutional Neural Networks and Confidence Thresholds.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

2015
A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015


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