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 University of Bordeaux.
As leader
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PADEL: Asesoramiento visión por ordenador para partidos de pádel
Technology Transfer Contract
Start Date: 29/06/2021
As contributor
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Amazon ResearchAward: Geometry-aware 3D Human Body Animation from Still Photos
Technology Transfer Contract
Start Date: 14/03/2019
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IPALM: Interactive Perception-Action-Learning for Modelling Objects
European Project
Start Date: 01/10/2019
Publications
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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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A. Pérez and A. Agudo. Matching and recovering 3D people from multiple views, 2022 IEEE Winter Conference on Applications of Computer Vision, 2022, Waikoloa, Hawaii, USA, pp. 1184-1193, IEEE.
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A. Agudo, V. Lepetit and F. Moreno-Noguer. Simultaneous completion and spatiotemporal grouping of corrupted motion tracks. The Visual Computer, 2022, to appear.
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A. Agudo. Unsupervised 3D reconstruction and grouping of rigid and non-rigid categories. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(1): 519-532, 2022.
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N. Ugrinovic, A. Ruiz, A. Agudo, A. Sanfeliu and F. Moreno-Noguer. Body size and depth disambiguation in multi-person reconstruction from single images, 2021 International Conference on 3D Vision, 2021, London, UK (Virtual), pp. 53-63.
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A. Vakhitov, L. Ferraz, A. Agudo and F. Moreno-Noguer. Uncertainty-Aware Camera Pose Estimation from Points and Lines, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, Nashville, TN, USA (Virtual), pp. 4657-4666, Computer Vision Foundation.
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A. Agudo. Piecewise Bézier space: Recovering 3D dynamic motion from video, 28th IEEE International Conference on Image Processing, 2021, Anchorage, AK, USA, pp. 3268-3272.
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J. Shen, A. Ruiz, A. Agudo and F. Moreno-Noguer. Stochastic Neural Radiance Fields: Quantifying uncertainty in implicit 3D representations, 2021 International Conference on 3D Vision, 2021, London, UK (Virtual), pp. 972-981.
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A. Ruiz, A. Agudo and F. Moreno-Noguer. Generating attribution maps with disentangled masked backpropagation, 2021 International Conference on Computer Vision, 2021, (Virtual), pp. 885-894.
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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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End-to-end learning for Wind Turbine blades: From imagery data to defect repair recommendations
Student:
Raül Pérez i Gonzalo
Started:
01/09/2021
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Master theses as supervisor
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3D Drone Localization inside Wind Turbine Blades
Student:
Leonardo Palacios Fidalgo
Started:
20/01/2022
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Lane Detection for Automated Driving, a Reference Perception System
Student:
Sergi Vidal Bazan
Started:
01/05/2022
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