Intelligent surveillance of indoor environments based on computer vision and 3D point cloud fusion. - María José Gómez-Silva; Fernando García 002; David Martín 001; Arturo de la Escalera; José María Armingol (Expert Syst. Appl., 2015)

Multi-object tracking with data association by a similarity identification model. - María José Gómez-Silva; José María Armingol; Arturo de la Escalera (ICDP, 2016)

Multi-object tracking errors minimisation by visual similarity and human joints detection. - María José Gómez-Silva; José María Armingol; Arturo de la Escalera (ICDP, 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 (VISIGRAPP (6: VISAPP), 2017)

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 (Intelligent Vehicles Symposium, 2018)

Deep Parts Similarity Learning for Person Re-Identification. - María José Gómez-Silva; José María Armingol; Arturo de la Escalera (VISIGRAPP (5: VISAPP), 2018)

Triplet permutation method for deep learning of single-shot person re-identification. - María José Gómez-Silva; Jose M. Armingol; Arturo de la Escalera (ICDP, 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)

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)

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)

Deep multi-shot network for modelling appearance similarity in multi-person tracking applications. - María José Gómez-Silva (Multim. Tools Appl., 2021)

Automated Defect Recognition of Castings defects using Neural Networks. - Alberto García-Pérez; María José Gómez-Silva; Arturo de la Escalera (CoRR, 2022)

Hierarchical generator of tracking global hypotheses. - María José Gómez-Silva; Arturo de la Escalera; José María Armingol (Expert Syst. Appl., 2022)

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)

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., 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., 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, 2023)

Preserving the Essential Features in CNNs: Pruning and Analysis. - Clara I. López-González; María José Gómez-Silva; Eva Besada-Portas; Gonzalo Pajares (CAEPIA, 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)

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)

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., 2024)

A Generative AI approach to improve in-situ vision tool wear monitoring with scarce data. - Alberto García-Pérez; María José Gómez-Silva; Arturo de la Escalera Hueso (J. Intell. Manuf., 2025)