Doctor en Ingeniería Informática y de Telecomunicación Álvaro García Martín received the M.S. degree in Electrical Engineering ("Ingeniero de Telecomunicación" degree) in 2007 (2002-2007) and the MPhil degree in Electrical Engineering and Computer Science (postgraduate Master) in 2009 and PhD in Computer Science in 2013 at Universidad Autónoma de Madrid (Spain). In 2008 he received a FPI research fellowship from Universidad Autónoma de Madrid. He has been with the Video Processing and Understanding Lab (VPU-Lab) at Universidad Autónoma of Madrid as a teaching/research assistant (2008-2014), assistant professor (2014-2019), associate interm professor (2019-2023). He is currently an Assistant Professor (PhD) at Universidad Autónoma of Madrid. He has participated in several projects dealing with multimedia content transmission (PROMULTIDIS y MESH), video-surveillance (ATI@SHIVA) and activity recognition (SEMANTIC, EVENTVIDEO and HAVideo). He also serves as a reviewer for several international Journals (IEEE TIFS, IEEE CSVT, Springer MTAP,… ) and Conferences (IEEE ICIP, IEEE AVSS,…). He has published more than 15 journal and conference papers. His current research interests are focused in the analysis of video sequences for the video surveillance (moving object extraction, object tracking and recognition, event detection…).
	Tel: 914973429
	Email: Garcia-Martin, Alvaro
	Web: http://www-vpu.ii.uam.es/~agm2/
	Despacho: C-209

Publicaciones Recientes

Revistas

• 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): , agosto 2023, ISSN 0018-9251 (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, febrero 2023, ISSN 1380-7501 citas (Google Scholar) (En prensa)


• Paula Moral, Alvaro Garcia-Martin, Jose M. Martinez, Jesús Bescós: "Enhancing Vehicle Re-Identification Via Synthetic Training Datasets and Re-ranking Based on Video-Clips Information", Multimedia Tools and Applications, 0 (0): , enero 2023, ISSN 1380-7501


• 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, octubre 2022, ISSN 0956-053X (JCR 2021 - Indice de impacto: 8.816). citas (Google Scholar) (En prensa)


• Javier Montalvo, Alvaro Garcia-Martin, Jesús Bescós: "Exploiting Semantic Segmentation to Boost Reinforcement Learning in Video Game Environments", Multimedia Tools and Applications, 1 (1): , septiembre 2022, ISSN 1380-7501 citas (Google Scholar)


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

Congresos

• Cecilia Diana-Albelda, Roberto Alcover, Alvaro Garcia-Martin, Jesús Bescós: "How SAM Perceives Different mp-MRI Brain Tumor Domains?", en IEEE/CVF International Conference on Computer Vision and Pattern Recognition, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, Seattle, WA, USA, 2024, (En prensa)


• Cecilia Diana-Albelda, Juan I. Bravo, Javier Montalvo, Alvaro Garcia-Martin, Jesús Bescós: "Self-Supervised Monocular Depth Estimation on Unseen Synthetic Cameras", en 26th Iberoamerican Congress on Pattern Recognition, Lecture Notes in Computer Science (LNCS), Springer Verlag, Coimbra-Portugal, 2023, (En prensa)


• Paula Moral, Alvaro Garcia-Martin, Jose M. Martinez: "Vehicle Re-Identification based on unsupervised domain adaptation by incremental generation of Pseudo-labels", en 26th Iberoamerican Congress on Pattern Recognition, Lecture Notes in Computer Science (LNCS), Springer Verlag, Coimbra-Portugal, 2023, (En prensa)


• Juan I. Bravo, Alvaro Garcia-Martin, Jesús Bescós: "Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss Combination", en The 2nd Workshop on AI for Space In conjunction with ECCV, 2022, AI4Space 2022, 2022,


• Juan I. Bravo, Alvaro Garcia-Martin, Jesús Bescós: "Spectral Loss for Monocular Self-Supervised Depth and Visual Odometry in Rover Navigation", en CEAS Conference on Guidance, Navigation and Control , 6th CEAS Conference on Guidance, Navigation and Control (EuroGNC), 2022, 2022,


• Marta Fernandez, Paula Moral, Alvaro Garcia-Martin, Jose M. Martinez: "Vehicle Re-Identification based on Ensembling Deep Learning Features including a Synthetic Training Dataset, Orientation and Background Features, and Camera Verification", en IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop 2021, CVF Open Access, Virtual, 2021,


• Alvaro Garcia-Martin, Matej Kristan, Jesús Bescós: "The sixth Visual Object Tracking VOT2020 challenge results", en 16TH EUROPEAN CONFERENCE ON COMPUTER VISION, 8th Visual Object Tracking Challenge Workshop, European Conference on Computer Vision, Virtual, 2020,


• Paula Moral, Alvaro Garcia-Martin, Jose M. Martinez: "Vehicle Re-Identification in Multi-Camera scenarios based on Ensembling Deep Learning Features", en IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop 2020, CVF Open Access, Virtual, 2020,


• Elena Luna, Paula Moral, Juan C. SanMiguel, Alvaro Garcia-Martin, Jose M. Martinez: "VPULab participation at AI City Challenge 2019", en IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, CVF Open Access, Long Beach (CA, EEUU), 2019, pp. 343-352

Capítulos

• Awet H. Gebrehiwot, Jesús Bescós, Alvaro Garcia-Martin: "Robust Template Update Strategy for Efficient Visual Object Tracking", Visual Object Tracking, 2022, pp. pp. 1-19 , (ISBN: 0) citas (Google Scholar)