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

  • J. Shen, A. Agudo, F. Moreno-Noguer and A. Ruiz. Conditional-Flow NeRF: Accurate 3D modelling with reliable uncertainty quantification, 17th European Conference on Computer Vision, 2022, Tel Aviv (Israel), in Computer Vision – ECCV 2022 , Vol 13666 of Lecture Notes in Computer Science, pp. 540-557, 2022.

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  • A. Agudo. Spline human motion recovery, 2022 IEEE International Conference on Image Processing, 2022, Bordeaux, France, pp. 4138-4142, IEEE.

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  • P. Estevez and A. Agudo. Uncalibrated, unified and unsupervised specular-aware photometric stereo, 2022 ICPR Workshop on Towards a Complete Analysis of People: From Face and Body to Clothes, 2022, Montreal (Canada), to appear.

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  • D.F. Ordoñez, A. Agudo, F. Moreno-Noguer and M. Martin. An adaptable approach to learn realistic legged locomotion without examples, 2022 IEEE International Conference on Robotics and Automation, 2022, Philadelphia, Pennsylvania, USA, pp. 4671-4678.

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  • A. Agudo. Safari from visual signals: Recovering volumetric 3D shapes, 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, 2022, Singapore, pp. 2495-2499.

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  • A. Pérez and A. Agudo. Matching and recovering 3D people from multiple views, 2022 IEEE Winter Conference on Applications of Computer Vision, 2022, Waikoloa, Hawaii, USA, pp. 1184-1193, IEEE.

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  • A. Agudo, V. Lepetit and F. Moreno-Noguer. Simultaneous completion and spatiotemporal grouping of corrupted motion tracks. The Visual Computer, 38(11): 3937–3952, 2022.

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  • 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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Master theses as supervisor