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
As contributor
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HuMoUR: Markerless 3D human motion understanding for adaptive robot behavior
National Project
Start Date: 01/01/2018
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SGR RobIRI: Grup consolidat de Percepció i Manipulació Robotitzada de l'IRI
Regional Project
Start Date: 01/01/2017
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SIMBIOTS: Facilitar una introducció de la robòtica a nous processos i aplicacions dintre de la industria
Regional Project
Start Date: 01/01/2018
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LOGIMATIC: Tight integration of EGNSS and on-board sensors for port vehicle automation
European Project
Start Date: 01/03/2016
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Google Faculty Award: Geometry-aware CNNs for Non-Rigid Shape Reconstruction
Technology Transfer Contract
Start Date: 17/02/2017
Publications
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A. Agudo and F. Moreno-Noguer. Shape basis interpretation for monocular deformable 3D reconstruction. IEEE Transactions on Multimedia, 2018, to appear.
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A. Pumarola, A. Agudo, A.M. Martinez, A. Sanfeliu and F. Moreno-Noguer. GANimation: Anatomically-aware facial animation from a single image, 15th European Conference on Computer Vision, 2018, Munich, in Computer Vision - ECCV 2018, Vol 11214 of Lecture Notes in Computer Science, pp. 835-851, 2018.
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A. Agudo and F. Moreno-Noguer. Deformable motion 3D reconstruction by union of regularized subspaces, 25th IEEE International Conference on Image Processing, 2018, Athens, Greece, pp. 2930-2934.
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A. Agudo and F. Moreno-Noguer. Robust spatio-temporal clustering and reconstruction of multiple deformable bodies. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, to appear.
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G. Rotger, F. Lumbreras, F. Moreno-Noguer and A. Agudo. 2D-to-3D facial expression transfer, 24th International Conference on Pattern Recognition, 2018, Beijing, China, pp. 2008-2013.
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A. Pumarola, A. Agudo, A. Sanfeliu and F. Moreno-Noguer. Unsupervised person image synthesis in arbitrary poses, 2018 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2018, Salt Lake City, to appear.
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A. Pumarola, A. Agudo, L. Porzi, A. Sanfeliu, V. Lepetit and F. Moreno-Noguer. Geometry-aware network for non-rigid shape prediction from a single view, 2018 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2018, Salt Lake City, to appear.
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A. Agudo, M. Pijoan and F. Moreno-Noguer. Image collection pop-up: 3D reconstruction and clustering of rigid and non-rigid categories, 2018 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2018, Salt Lake City, to appear.
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A. Agudo and F. Moreno-Noguer. A scalable, efficient, and accurate solution to non-rigid structure from motion. Computer Vision and Image Understanding, 167: 121-133, 2018.
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A. Agudo and F. Moreno-Noguer. Force-based representation for non-rigid shape and elastic model estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(9): 2137-2150, 2018.
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PhD Theses as supervisor
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Geometric Computer Vision meets Deep Learning for Autonomous Driving Applications
Student:
Javier Garcia López
Started:
01/09/2016
Description
Info
Master theses as supervisor
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6D Object Instance Recognition from RGB images: A Learning-Based Perspective
Student:
David Reixach Pérez
Started:
01/03/2018
Description
Info
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