Antonio Agudo Martínez

Científico Titular


Subline:

Perception and Manipulation


E-mail aagudo (at) iri.upc.edu

Phone 93 4010775

Internal Phone 93 4013020

Web 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.

  • Current
  • Archive

Publications

  • A. Agudo and F. Moreno-Noguer. Shape basis interpretation for monocular deformable 3D reconstruction. IEEE Transactions on Multimedia, 21(4): 821-834, 2019.

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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, 41(4): 971-984, 2019.

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  • J. Garcia, A. Agudo and F. Moreno-Noguer. Vehicle pose estimation using G-Net: Multi-class localization and depth estimation, 21st Catalan Conference on Artificial Intelligence, 2018, Roses, in Artificial Intelligence Research and Development, Vol 308 of Frontiers in Artificial Intelligence and Applications, pp. 355-364, 2018, IOS Press.

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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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  • 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/CVF Conference on Computer Vision and Pattern Recognition, 2018, Salt Lake City, pp. 8620-8628.

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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/CVF Conference on Computer Vision and Pattern Recognition, 2018, Salt Lake City, pp. 4681-4690.

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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/CVF Conference on Computer Vision and Pattern Recognition, 2018, Salt Lake City, pp. 2607-2615.

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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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PhD Theses as supervisor

Master theses as supervisor