
Antonio Agudo Martínez
Científico Titular
Subline:
Perception and Manipulation
aagudo (at) iri.upc.edu
93 4010775
93 4013020
http://www.iri.upc.edu/people/aagudo/
Antonio Agudo received the MSc degree in industrial engineering in 2010, MSc degree in Computer Science in 2011, and the PhD degree in Computer Vision and Robotics in 2015, from University of Zaragoza. He was a visiting student at the vision group of Queen Mary University of London, and with the vision and imaging science group of University College London. He was also a visiting fellow at Harvard University, and a visiting researcher at Bordeaux Université and Universidad Nacional Entre Rios.
As leader
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GRAvatar: Generating Realistic Avatars in unconstrained environments
National Project
Start Date: 01/09/2024
As contributor
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SMARTGAZE II: Sistema de Movilidad Autónoma y Segura para personas con Baja Visión en entornos urbanos
National Project
Start Date: 01/09/2022
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SGR RobIRI: Grup consolidat de Percepció i Manipulació Robotitzada de l'IRI
Regional Project
Start Date: 01/01/2022
Publications
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D.F. Ordoñez, G. Turrisi, V. Kostic, M. Martin, A. Agudo, F. Moreno-Noguer, M. Pontil, C. Semini and C. Mastalli. Morphological symmetries in robotics. International Journal of Robotics Research : 1-24, 2025, to appear.
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S. Montoya and A. Agudo. 4DPV: 4D pet from videos by coarse-to-fine non-rigid radiance fields, 17th Asian Conference on Computer Vision, 2024, Hanoi, in Computer Vision – ACCV 2024, Vol 15472 of Lecture Notes in Computer Science, pp. 141–157, 2024.
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G. Capellera, L. Ferraz, A. Rubio, A. Agudo and F. Moreno-Noguer. TranSPORTmer: A holistic approach to trajectory understanding in multi-agent sports scenarios, 17th Asian Conference on Computer Vision, 2024, Hanoi, in Computer Vision – ACCV 2024, Vol 15472 of Lecture Notes in Computer Science, pp. 333–352, 2024.
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G. Fiche, S. Leglaive, X. Alameda, A. Agudo and F. Moreno-Noguer. VQ-HPS: Human pose and shape estimation in a vector-quantized latent space, 18th European Conference on Computer Vision, 2024, Milano, Italy, in Computer Vision – ECCV 2024, Vol 15110 of Lecture Notes in Computer Science, pp. 471-490, 2024.
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M. Pérez, A. Agudo, G. Dubbelman and P. Jancura. Class prototypical loss for enhanced feature separation in 3D object detection, 2024 IEEE Intelligent Transportation Systems Conference, 2024, Edmonton, Canada, pp. 3505-3512.
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N. Ugrinovic, A. Ruiz, A. Agudo, A. Sanfeliu and F. Moreno-Noguer. PIRO: Permutation-invariant relational network for multi-person 3D pose estimation, 19th International Conference on Computer Vision Theory and Applications, 2024, Rome (Italy), pp. 295-305.
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G. Capellera, L. Ferraz, A. Rubio, A. Agudo and F. Moreno-Noguer. FootBots: A transformer-based architecture for motion prediction in soccer, 2024 IEEE International Conference on Image Processing, 2024, Abu Dhabi, UAE, pp. 2313-2319.
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A. Casanova and A. Agudo. Uncalibrated and unsupervised photometric stereo with piecewise regularizer, 2024 IEEE International Conference on Image Processing, 2024, Abu Dhabi, UAE, pp. 3471-3476.
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R. Pérez, A. Espersen and A. Agudo. Generalized nested latent variable models for lossy coding applied to wind turbine scenarios, 2024 IEEE International Conference on Image Processing, 2024, Abu Dhabi, UAE, pp. 1947-1953.
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M. Gutiérrez and A. Agudo. No bells, just whistles: sports field registration by leveraging geometric properties, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Workshop on Computer Vision in Sports, 2024, Seattle (USA), pp. 3325-3334.
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PhD Theses as supervisor
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Multimodal Data Fusion for Multiple Object Tracking: A Reference Perception System for ADAS and AV Functions Validation
Student:
Marc Pérez Quintana
Started:
22/03/2021
Description
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Learning the semantics of soccer from video
Student:
Marc Peral Sánchez
Started:
01/10/2021
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Towards sports video understanding: from perception to 3D-based advanced metrics
Student:
Marc Gutiérrez Pérez
Started:
01/01/2023
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Motion prediction and team strategies in football
Student:
Guillem Capellera Font
Started:
15/12/2023
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Master theses as supervisor
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3D Frame Tracer Using Multi-Camera System and Deep Learning for Eyeglass
Student:
Manel Guzmán Castellana
Started:
01/02/2024
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Enhancing Fine-Grained Action Recognition in Gymnastics through 3D Pose Estimation
Student:
Anna Domènech Olivé
Started:
01/04/2024
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3D reconstruction of endoscopic tissues by unsupervised neural rendering
Student:
Laura Salort Benejam
Started:
01/03/2025
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TFG (final year projects) as supervisor
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Neural point features for automatic wind turbine inspection
Student:
Maria Vilajoana Martín
Started:
01/03/2025
Description
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