Doctor en Ingeniería Informática y de Telecomunicación Marcos Escudero Viñolo was born in Madrid, Spain in 1984. He made his under grade studies in the Ramiro de Maeztu high school in Madrid. Then he started his studies in Electric Engineering and Computer Science at the Universidad Autónoma de Madrid in 2002 and in 2006 he spent a year as an Erasmus student in the Mälardälens Högskola at Västerås, Sweden while he received his title as Ingeniero de Telecomunicación (M.S. degree in Electrical Engineering) in 2008 and his MPhil degree in Multimedia Signal Processing at 2009, both form the Universidad Autónoma de Madrid. In 2007 he joined the Video Processing and Understanding Lab (VPU-Lab) to develop his grade Dissertation under the supervision of PhD student Fabrizio Tiburzi and PhD professor Jesús Bescós. From then in advance he has been working as a PhD student in the VPU-Lab under the supervision of PhD professor Jesús Bescós. In the line of his Thesis, he has collaborated in European projects (MESH) and National projects (CENIT-VISION). According to his research lines, they are mainly focussed in the area of video analysis, both in the compress and uncompress domains, targeting to develop automatic video content translators. With this aim, his efforts are focused in the detection, extraction, localization, tracking and characterization of the objects present in the scene.
	Tel: 914975770
	Email: Escudero Viñolo, Marcos
	Web: https://scholar.google.com/citations?user=i4U5duMAAAAJ&hl=es
	Room: C-211

Recent publications

Journals

• Juan I. Bravo, Alvaro Garcia-Martin, Jesús Bescós, Marcos Escudero: "Spacecraft Pose Estimation: Robust 2D and 3D-Structural Losses and Unsupervised Domain Adaptation by Inter-Model Consensus", IEEE Transactions on Aerospace and Electronic Systems, 0 (0): , August 2023, ISSN 0018-9251 (En prensa)


• Alejandro Lopez, Marcos Escudero, Jesús Bescós, Juan C. SanMiguel: "Attention-based Knowledge Distillation in Scene Recognition: the Impact of a DCT-driven Loss", IEEE Transactions on Circuits and Systems for Video Technology, 0 (0): , February 2023, ISSN 1051-8215 citas (Google Scholar) (En prensa)


• Roberto Alcover, Juan C. SanMiguel, Marcos Escudero, Alvaro Garcia-Martin: "On exploring weakly supervised domain adaptation strategies for semantic segmentation using synthetic data", Multimedia Tools and Applications, 0 (0): pp. 1-33, February 2023, ISSN 1380-7501 citas (Google Scholar) (En prensa)


• Paula Moral, Alvaro Garcia-Martin, Marcos Escudero, Jose M. Martinez, Jesús Bescós: "Towards automatic waste containers management in cities via computer vision: containers localization and geo-positioning in city maps", Waste Management, 152 (1): pp. 59-68, October 2022, ISSN 0956-053X (JCR 2021 - Indice de impacto: 8.816). citas (Google Scholar) (En prensa)


• Elena Luna, Juan C. SanMiguel, Jose M. Martinez, Marcos Escudero: "Online clustering-based multi-camera vehicle tracking in scenarios with overlapping FOVs", Multimedia Tools and Applications, 2022 (81): pp. 7063-7083, January 2022, ISSN 1380-7501


• Alejandro Lopez, Marcos Escudero, Jesús Bescós, Alvaro Garcia-Martin: "Semantic-Aware Scene Recognition", Pattern Recognition, 102 (107256): , February 2020, ISSN 0031-3203 (JCR 2020 - Indice de impacto: 7.19).


• Marcos Escudero, Jesús Bescós: "Squeezing the DCT to Fight Camouflage", Journal of Mathematical Imaging and Vision volume, 62 (1): pp. 206-222, November 2019, ISSN 0924-9907 (JCR 2018 - Indice de impacto: 1.603). citas (Google Scholar)

Conferences

• Roberto Alcover, Juan C. SanMiguel, Marcos Escudero: "Biased Class disagreement: detection of out of distribution instances by using differently biased semantic segmentation models", en IEEE International Conference on Computer Vision Workshops 2023, Workshop on Uncertainty Quantification for Computer Vision, IEEE explore / CVF, Paris (Francia), 2023,


• et al., Roberto Alcover, Juan C. SanMiguel, Marcos Escudero, et al.: "The Robust Semantic Segmentation UNCV2023 Challenge Results", en IEEE International Conference on Computer Vision Workshops 2023, Workshop on Uncertainty Quantification for Computer Vision, CVF, Paris (Francia), 2023,


• Alejandro Lopez, Marcos Escudero: "Visualizing the Effect of Semantic Categories in the Attribution of Scene Recognition Models", en International Conference on Pattern Recognition, EXPLAINABLE DEEP LEARNING - AI Workshop, Milan, 2021,