
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
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Amazon ResearchAward: Geometry-aware 3D Human Body Animation from Still Photos
Technology Transfer Contract
Start Date: 14/03/2019
Publications
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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, IEEE, to appear.
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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.
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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, IEEE, to appear.
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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.
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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, to appear.
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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.
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A. Agudo. Spline human motion recovery, 2022 IEEE International Conference on Image Processing, 2022, Bordeaux, France, pp. 4138-4142, IEEE.
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P. Estevez and A. Agudo. Uncalibrated, unified and unsupervised specular-aware photometric stereo, 2022 ICPR Workshop on Towards a Complete Analysis of People: From Face and Body to Clothes, 2022, Montreal (Canada), pp. 7-20.
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D.F. Ordoñez, A. Agudo, F. Moreno-Noguer and M. Martin. An adaptable approach to learn realistic legged locomotion without examples, 2022 IEEE International Conference on Robotics and Automation, 2022, Philadelphia, Pennsylvania, USA, pp. 4671-4678.
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A. Agudo. Safari from visual signals: Recovering volumetric 3D shapes, 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, 2022, Singapore, pp. 2495-2499.
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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
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
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Master theses as supervisor
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image Registration for Drone Image Localization
Student:
Berta Pla Casamitjana
Started:
29/09/2023
Description
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Machine Learning-based Segmentation applied to wind turbine images
Student:
Nora Amama Ben Hassun
Started:
29/09/2023
Description
Info
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