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
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, M. Martin, A. Agudo and F. Moreno-Noguer. Morphological symmetries in robot learning, 2023 RSS Workshop on Symmetries in Robot Learning, 2023, Daegu (South Korea), pp. 1-5.
Abstract Info PDF
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R. Ren, M. Gurnani Rajesh, J. Sanchez, A. López, F. Zhang, Y. Tian, G. Alenyà, A. Agudo, Y. Demiris, K. Mikolajczyk and F. Moreno-Noguer. Grasp-oriented fine-grained cloth segmentation without real supervision, 2023 6th International Conference on Machine Vision and Applications, 2023, Singapore, pp. 147-153.
Abstract Info PDF
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M. Pérez and A. Agudo. Robust multimodal and multi-object tracking for autonomous driving applications, 2023 International Conference on Advanced Robotics, 2023, Abu Dhabi, UAE, pp. 100-106, IEEE.
Abstract Info PDF
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M. Pérez and A. Agudo. Sensor-agnostic multimodal fusion for multiple object tracking from camera, radar, lidar and V2X, 2023 FISITA 2023 World Congress, 2023, Barcelona, to appear.
Abstract Info PDF
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R. Pérez, A. Espersen and A. Agudo. Robust wind turbine blade segmentation from RGB images in the wild, 2023 IEEE International Conference on Image Processing, 2023, Kuala Lumpur, Malaysia, pp. 1025-1029.
Abstract Info PDF
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A. Urdapilleta and A. Agudo. Comparative study of feature localization methods for endoscopy image matching, 2023 IEEE International Conference on Image Processing Challenges and Workshops, 2023, Kuala Lumpur, Malaysia, pp. 3719-3723, IEEE.
Abstract Info PDF
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D.F. Ordoñez, M. Martin, A. Agudo and F. Moreno-Noguer. On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis, 2023 Robotics: Science and Systems Conference, 2023, Daegu, Republic of Korea.
Abstract Info PDF
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A. Agudo. Detail-aware uncalibrated photometric stereo, 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, 2023, Rhodes Island, Greece, pp. 1-5.
Abstract Info PDF
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J. Shen, A. Agudo, F. Moreno-Noguer and A. Ruiz. Conditional-Flow NeRF: Accurate 3D modelling with reliable uncertainty quantification, 17th European Conference on Computer Vision, 2022, Tel Aviv (Israel), in Computer Vision – ECCV 2022 , Vol 13666 of Lecture Notes in Computer Science, pp. 540-557, 2022.
Abstract Info PDF
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A. Agudo. Spline human motion recovery, 2022 IEEE International Conference on Image Processing, 2022, Bordeaux, France, pp. 4138-4142, IEEE.
Abstract Info PDF
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 Info
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End-to-end learning for Wind Turbine blades: From imagery data to defect repair recommendations
Student:
Raül Pérez i Gonzalo
Started:
01/09/2021
Description Info
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Towards sports video understanding: from perception to 3D-based advanced metrics
Student:
Marc Gutiérrez Pérez
Started:
01/01/2023
Description Info
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Motion prediction and team strategies in football
Student:
Guillem Capellera Font
Started:
15/12/2023
Description Info
Master theses as supervisor
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energy data
Student:
Carl Ian Wallgren
Started:
16/11/2023
Description Info
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3D Frame Tracer Using Multi-Camera System and Deep Learning for Eyeglass
Student:
Manel Guzmán Castellana
Started:
01/02/2024
Description Info
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sport
Student:
Anna Domènech Olivé
Started:
01/04/2024
Description Info
TFG (final year projects) as supervisor
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Direct pixel-based techniques for Image Registration on Wind Turbine Drone Inspections
Student:
Oriol Baldrís Vendrell
Started:
01/02/2024
Description Info
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