Antonio Agudo Martínez

Investigador Científico


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 Bordeaux Université and Universidad Nacional Entre Rios.

  • Current
  • Archive

Publications

  • R. Pérez, A. Espersen, S. Forchhammer and A. Agudo. End-to-end image compression with segmentation guided dual coding for wind turbines. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2026, to appear.

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  • M. Gutiérrez, C. Yeung, K. Fujii and A. Agudo. Once upon a goal: Towards orientation-based shot metrics in football. Computer Vision and Image Understanding, 268: 104732, 2026.

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  • M. Gutiérrez and A. Agudo. PnLCalib: Sports field registration via points and lines optimization. Computer Vision and Image Understanding, 267: 104712, 2026.

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  • J. Cuch, A. Agudo and R. Pérez. Synthetic craquelure generation for unsupervised painting restoration, 2026 IEEE International Conference on Artificial Intelligence, 2026, Granada, pp. 1437-1442.

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  • M. Guzmán and A. Agudo. Breaking the sub-millimeter barrier: eyeframe acquisition from color images, 2026 IEEE International Conference on Artificial Intelligence, 2026, Granada, pp. 541-547.

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  • I. Montoya and A. Agudo. Meteorological data and sky images meets neural models for photovoltaic power forecasting, 2026 IEEE International Conference on Artificial Intelligence, 2026, Granada, pp. 333-338.

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  • J.M. Adrian and A. Agudo. Better together: uncalibrated photometric stereo with shading and specularities, 2026 IEEE International Conference on Acoustics, Speech and Signal Processing, 2026, Barcelona, Spain, pp. 11427-11431.

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  • R. Pérez, A. Espersen and A. Agudo. Probabilistic deep discriminant analysis for wind blade segmentation, 2026 IEEE International Conference on Acoustics, Speech and Signal Processing, 2026, Barcelona, Spain, pp. 3991-3995.

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  • R. Pérez, A. Espersen and A. Agudo. Discriminant learning-based colorspace for blade segmentation, 2026 IEEE International Conference on Acoustics, Speech and Signal Processing, 2026, Barcelona, Spain, pp. 8572-8576.

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  • L. Salort and A. Agudo. NeRFscopy: Neural radiance fields for in-vivo time-varying tissues from endoscopy, 2026 IEEE International Symposium on Biomedical Imaging, 2026, London, pp. 1-5.

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Master theses as supervisor

TFG (final year projects) as supervisor