Journals

1. Javier Montalvo, Álvaro García-Martín, and Jesus Bescós, “Exploiting Semantic Segmentation to Boost Reinforcement Learning in Video Game Environments”. Multimedia Tools and Applications, 82, 10961–10979, March 2023. Electronic ISSN 1573-7721, Print ISSN 1380-7501. DOI 10.1007/s11042-022-13695-1 [OpenAccess]
   This work is part of the preliminary tasks related to the SEGA-CV funded by the Ministerio de Ciencia e Innovación of the Spanish Government.
2. Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, and Alvaro Garcia-Martin, “On exploring weakly supervised domain adaptation strategies for semantic segmentation using synthetic data”. Multimedia Tools and Applications, Online 11 March 2023. Electronic ISSN 1573-7721, Print ISSN 1380-7501. DOI 10.1007/s11042-023-14662-0 [OpenAccess]
   This work is part of the preliminary tasks related to the SEGA-CV funded by the Ministerio de Ciencia e Innovación of the Spanish Government.

Conferences

1. Roberto Alcover, Juan C. SanMiguel, Marcos Escudero, "Biased Class disagreement: detection of out of distribution instances by using differently biased semantic segmentation models", IEEE International Conference on Computer Vision Workshops 2023 (ICCV), Workshop on Uncertainty Quantification for Computer Vision, Paris (France), Oct. 2023, pp. 4580-4588.
   Xuanling Yu et al., "The Robust Semantic Segmentation UNCV2023 Challenge Results", IEEE International Conference on Computer Vision Workshops 2023 (ICCV), Workshop on Uncertainty Quantification for Computer Vision, Paris (France), Oct. 2023, pp. 4618-4628.
2. Cecilia Diana Albelda, Juan Ignacio Bravo Pérez-Villar, Javier Montalvo, Álvaro García Martín, Jesús Bescós Cano, "Self-Supervised Monocular Depth Estimation on Unseen Synthetic Cameras", 26th Iberoamerican Congress on Pattern Recognition (CIAPR), Coimbra (Portugal), Nov. 2023
3. Paula Moral, Alvaro Garcia-Martin, Jose M. Martinez, "Vehicle Re-Identification based on unsupervised domain adaptation by incremental generation of Pseudo-labels", 26th Iberoamerican Congress on Pattern Recognition (CIAPR), Coimbra (Portugal), Nov. 2023

PhD thesis

Under development

• Detección y asociación de objetos en escenarios multivista (Detection and association of objets in multiview scenarios), Paula Moral de Eusebio (advisors: Álvaro García-Martín, José M. Martínez), Tesis Doctoral (PhD Thesis), Programa de Doctorado en Ingeniería Informática y de Telecomunicación, Univ. Autónoma de Madrid.
• Detección y segmentación en imágenes con datos sintéticos (Detection and Segmentation in Images using Synthetic Data), Roberto Alcover Couso (advisors: Juan Carlos San Miguel, Marcos Escudero), Tesis Doctoral (PhD Thesis), Programa de Doctorado en Ingeniería Informática y de Telecomunicación, Univ. Autónoma de Madrid.
• Aprendizaje Profundo con Redes Adversarias y Datos Sintéticos (Deep Learning with Adversarial Netowrks and Synthetic Data), Javier Montalvo Rodrigo (advisors: Álvaro García Martín, Pablo Carballeira), Tesis Doctoral (PhD Thesis), Programa de Doctorado en Ingeniería Informática y de Telecomunicación, Univ. Autónoma de Madrid.

Master thesis

Graduate thesis

1. Anotación automática mediante detección y asociación temporal de objetos, Ignacio Marín González (advisor: Álvaro García Martín), Trabajo Fin de Grado (Graduate Thesis), Grado en Ingeniería de Tecnologías y Servicios de Telecomunicación, Univ. Autónoma de Madrid, Feb. 2023.
2. Interpretabilidad de redes neuronales de clasificación de imágenes mediante el cálculo de sus márgenes (Aiding interpretability of deep learning model by calculation of the decision margins), Anisha Anil Sujanani (advisor: Kiril Sirotkin; lecturer: Marcos Escudero-Viñolo), Trabajo Fin de Grado (Graduate Thesis), Grado en Ingeniería de Tecnologías y Servicios de Telecomunicación, Univ. Autónoma de Madrid, Sept. 2023.

Last update 13/10/2023