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

  • G. Capellera, A. Rubio, L. Ferraz and A. Agudo. Heteroscedastic diffusion for multi-agent trajectory modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026, to appear.

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  • M. Peral, G. Capellera, L. Ferraz, A. Rubio, S. Grasshof, D. Witzner and A. Agudo. Synergy between trajectories and human pose for soccer , 2026 IEEE International Conference on Image Processing, 2026, Tampere, Finland.

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  • A. Sztamborski, R. Pérez and A. Agudo. Deep image segmentation via discriminant feature learning, 2026 IEEE International Conference on Image Processing, 2026, Tampere, Finland.

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  • 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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  • L. Salort and A. Agudo. Endo-4DTS: Monocular 4D scene synthesis for endoscopy via deformable triangle splatting, 2026 Medical Imaging with Deep Learning, 2026, Taipei, Taiwan, pp. 4117-4133.

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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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  • G. Capellera, L. Ferraz, A. Rubio, A. Alahi and A. Agudo. JointDiff: Bridging continuous and discrete in multi-agent trajectory generation, 2026 International Conference on Learning Representations, 2026, Rio de Janeiro, Brazil, pp. 75912-75942.

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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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PhD Theses as supervisor

Master theses as supervisor