María José Gómez-Silva

According to our database, María José Gómez-Silva authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Layer factor analysis in convolutional neural networks for explainability.

Clara I. López-González, María José Gómez-Silva, Eva Besada-Portas, Gonzalo Pajares

Appl. Soft Comput., January, 2024

Analyzing and interpreting convolutional neural networks using latent space topology.

Clara I. López-González, María José Gómez-Silva, Eva Besada-Portas, Gonzalo Pajares

Neurocomputing, 2024

Integration of object detection and semantic segmentation based on convolutional neural networks for navigation and monitoring of cyanobacterial blooms in lentic water scenes.

Fredy Barrientos-Espillco, María José Gómez-Silva, Eva Besada-Portas, Gonzalo Pajares

Appl. Soft Comput., 2024

Preserving the Essential Features in CNNs: Pruning and Analysis.

Clara I. López-González, María José Gómez-Silva, Eva Besada-Portas, Gonzalo Pajares

Proceedings of the Advances in Artificial Intelligence, 2024

2023

Reinforcement Learning Algorithms for Autonomous Mission Accomplishment by Unmanned Aerial Vehicles: A Comparative View with DQN, SARSA and A2C.

Gonzalo Aguilar Jiménez, Arturo de la Escalera Hueso, María José Gómez-Silva

Sensors, November, 2023

Neural Architectures for Feature Embedding in Person Re-Identification: A Comparative View.

Javier Domínguez-Martín, María José Gómez-Silva, Arturo de la Escalera

ACM Trans. Intell. Syst. Technol., October, 2023

Semantic segmentation based on Deep learning for the detection of Cyanobacterial Harmful Algal Blooms (CyanoHABs) using synthetic images.

Fredy Barrientos-Espillco, Esther Gascó, Clara I. López-González, María José Gómez-Silva, Gonzalo Pajares

Appl. Soft Comput., July, 2023

Artificial Intelligence Techniques for Automatic Detection of Peri-implant Marginal Bone Remodeling in Intraoral Radiographs.

María Vera, María José Gómez-Silva, Vicente Vera, Clara I. López-González, Ignacio Aliaga, Esther Gascó, Vicente Vera-González, María Pedrera-Canal, Eva Besada-Portas, Gonzalo Pajares

J. Imaging Inform. Medicine, 2023

2022

Hierarchical generator of tracking global hypotheses.

María José Gómez-Silva, Arturo de la Escalera, José María Armingol

Expert Syst. Appl., 2022

Automated Defect Recognition of Castings defects using Neural Networks.

Alberto García-Pérez, María José Gómez-Silva, Arturo de la Escalera

CoRR, 2022

2021

Deep multi-shot network for modelling appearance similarity in multi-person tracking applications.

María José Gómez-Silva

Multim. Tools Appl., 2021

Back-propagation of the Mahalanobis istance through a deep triplet learning model for person Re-Identification.

María José Gómez-Silva, Arturo de la Escalera, José María Armingol

Integr. Comput. Aided Eng., 2021

2019

An Appearance-Based Tracking Algorithm for Aerial Search and Rescue Purposes.

Abdulla Al-Kaff, María José Gómez-Silva, Francisco Miguel Moreno, Arturo de la Escalera, José María Armingol

Sensors, 2019

Transferring learning from multi-person tracking to person re-identification.

María José Gómez-Silva, Ebroul Izquierdo, Arturo de la Escalera, José María Armingol

Integr. Comput. Aided Eng., 2019

Triplet permutation method for deep learning of single-shot person re-identification.

María José Gómez-Silva, Jose M. Armingol, Arturo de la Escalera

Proceedings of the 9th International Conference on Imaging for Crime Detection and Prevention, 2019

2018

Deep Parts Similarity Learning for Person Re-Identification.

María José Gómez-Silva, José María Armingol, Arturo de la Escalera

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Automatic Analysis of Pedestrian's Body Language in the Interaction with Autonomous Vehicles.

Walter Morales-Alvarez, María José Gómez-Silva, Gerardo Fernández-López, Fernando García Fernandez, Cristina Olaverri-Monreal

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017

Deep Part Features Learning by a Normalised Double-Margin-Based Contrastive Loss Function for Person Re-Identification.

María José Gómez-Silva, José María Armingol, Arturo de la Escalera

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

Multi-object tracking errors minimisation by visual similarity and human joints detection.

María José Gómez-Silva, José María Armingol, Arturo de la Escalera

Proceedings of the 8th International Conference on Imaging for Crime Detection and Prevention, 2017

2016

Multi-object tracking with data association by a similarity identification model.

María José Gómez-Silva, José María Armingol, Arturo de la Escalera

Proceedings of the 7th International Conference on Imaging for Crime Detection and Prevention, 2016

2015

Intelligent surveillance of indoor environments based on computer vision and 3D point cloud fusion.

María José Gómez-Silva, Fernando García, David Martín, Arturo de la Escalera, José María Armingol

Expert Syst. Appl., 2015