Antonio Agudo Martínez
Postdoc
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 vision group of Queen Mary University of London and with the vision and imaging science group of University College London. Also, he was a visiting fellow at Harvard University. He is an associate researcher at the computer vision department of the IRI at CSIC-UPC.
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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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
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I-DRESS: Assistive interactive robotic system for support in dressing
European Project
Start Date: 01/12/2015
Publications
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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, to appear.
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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, 2018 International Conference on Pattern Recognition, 2018, Beijing, China, to appear.
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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, 2018, to appear.
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A. Agudo and F. Moreno-Noguer. DUST: Dual union of spatio-temporal subspaces for monocular multiple object 3D reconstruction, 2017 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2017, Honolulu, USA, pp. 1513-1521, IEEE.
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A. Pumarola, A. Vakhitov, A. Agudo, A. Sanfeliu and F. Moreno-Noguer. PL-SLAM: Real-time monocular visual SLAM with points and lines, 2017 IEEE International Conference on Robotics and Automation, 2017, Singapore, pp. 4503-4508.
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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
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