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

As leader

As contributor

Publications

  • A. Agudo. Unsupervised 3D reconstruction and grouping of rigid and non-rigid categories. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(1): 519-532, 2022.

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  • N. Ugrinovic, A. Ruiz, A. Agudo, A. Sanfeliu and F. Moreno-Noguer. Body size and depth disambiguation in multi-person reconstruction from single images, 2021 International Conference on 3D Vision, 2021, London, UK (Virtual), pp. 53-63.

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  • A. Vakhitov, L. Ferraz, A. Agudo and F. Moreno-Noguer. Uncertainty-Aware Camera Pose Estimation from Points and Lines, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, Nashville, TN, USA (Virtual), pp. 4657-4666, Computer Vision Foundation.

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  • A. Agudo, V. Lepetit and F. Moreno-Noguer. Simultaneous completion and spatiotemporal grouping of corrupted motion tracks. The Visual Computer, 2021, to appear.

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  • A. Agudo. Piecewise Bézier space: Recovering 3D dynamic motion from video, 28th IEEE International Conference on Image Processing, 2021, Anchorage, AK, USA, pp. 3268-3272.

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  • J. Shen, A. Ruiz, A. Agudo and F. Moreno-Noguer. Stochastic Neural Radiance Fields: Quantifying uncertainty in implicit 3D representations, 2021 International Conference on 3D Vision, 2021, London, UK (Virtual), pp. 972-981.

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  • A. Ruiz, A. Agudo and F. Moreno-Noguer. Generating attribution maps with disentangled masked backpropagation, 2021 International Conference on Computer Vision, 2021, Virtual, pp. 905-914, to appear.

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  • A. Agudo. Total estimation from RGB video: On-line camera self-calibration, non-rigid shape and motion, 25th International Conference on Pattern Recognition, 2021, Milan, Italy (Virtual), pp. 8140-8147.

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  • J. Garcia, A. Agudo and F. Moreno-Noguer. E-DNAS: Differentiable neural architecture search for embedded systems, 25th International Conference on Pattern Recognition, 2021, Milan, Italy (Virtual), pp. 4704-4711.

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  • V. Sidhu, E. Tretschk, V. Golyanik, A. Agudo and C. Theobalt. Neural dense non-rigid structure from motion with latent space constraints, 16th European Conference on Computer Vision, 2020, (Virtual), in Computer Vision - ECCV 2020, Vol of Lecture Notes in Computer Science, pp. 12361:204-222, 2020.

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Master theses as supervisor

TFG (final year projects) as supervisor