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 Bordeaux Université and Universidad Nacional Entre Rios.

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Publications

  • G. Capellera, L. Ferraz, A. Rubio, A. Agudo and F. Moreno-Noguer. FootBots: A transformer-based architecture for motion prediction in soccer, 2024 IEEE International Conference on Image Processing, 2024, Abu Dhabi, UAE, pp. 2313-2319.

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  • A. Casanova and A. Agudo. Uncalibrated and unsupervised photometric stereo with piecewise regularizer, 2024 IEEE International Conference on Image Processing, 2024, Abu Dhabi, UAE, pp. 3471-3476.

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  • R. Pérez, A. Espersen and A. Agudo. Generalized nested latent variable models for lossy coding applied to wind turbine scenarios, 2024 IEEE International Conference on Image Processing, 2024, Abu Dhabi, UAE, pp. 1947-1953.

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  • M. Gutiérrez and A. Agudo. No bells, just whistles: sports field registration by leveraging geometric properties, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Workshop on Computer Vision in Sports, 2024, Seattle (USA), pp. 3325-3334.

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  • A. Berresheim and A. Agudo. Photovoltaic power forecasting using sky images and sun motion, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing, 2024, Seoul, Korea, pp. 4260-4264.

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  • D.F. Ordoñez, M. Martin, A. Agudo and F. Moreno-Noguer. Morphological symmetries in robot learning, 2023 RSS Workshop on Symmetries in Robot Learning, 2023, Daegu (South Korea), pp. 1-5.

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  • R. Ren, M. Gurnani Rajesh, J. Sanchez, A. López, F. Zhang, Y. Tian, G. Alenyà, A. Agudo, Y. Demiris, K. Mikolajczyk and F. Moreno-Noguer. Grasp-oriented fine-grained cloth segmentation without real supervision, 2023 6th International Conference on Machine Vision and Applications, 2023, Singapore, pp. 147-153.

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  • M. Pérez and A. Agudo. Robust multimodal and multi-object tracking for autonomous driving applications, 2023 International Conference on Advanced Robotics, 2023, Abu Dhabi, UAE, pp. 100-106, IEEE.

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  • M. Pérez and A. Agudo. Sensor-agnostic multimodal fusion for multiple object tracking from camera, radar, lidar and V2X, 2023 FISITA 2023 World Congress, 2023, Barcelona.

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  • R. Pérez, A. Espersen and A. Agudo. Robust wind turbine blade segmentation from RGB images in the wild, 2023 IEEE International Conference on Image Processing, 2023, Kuala Lumpur, Malaysia, pp. 1025-1029.

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Master theses as supervisor