Francesc Moreno Noguer

Investigador Científico


Subline:

Perception and Manipulation


E-mail fmoreno (at) iri.upc.edu

Phone 93 4010775

Internal Phone 93 4013017

Web http://www.iri.upc.edu/people/fmoreno/

  • Current
  • Archive

Publications

  • E. Corona, G. Alenyà, G. Pons-Moll and F. Moreno-Noguer. LayerNet: high-resolution semantic 3D reconstruction of clothed people. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(2): 1257-1272, 2024.

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  • P. Caselles, E. Ramon, J. Garcia, X. Giro-i-Nieto, F. Moreno-Noguer and G. Triginer. SIRA: Relightable Avatars from a Single Image, 2023 IEEE Winter Conference on Applications of Computer Vision, 2023, Waikoloa, Hawaii, pp. 775-784.

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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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  • G.D. Delmas, P. Weinzaepfel, F. Moreno-Noguer and G. Rogez. PoseFix: correcting 3D human poses with natural language, 2023 International Conference on Computer Vision, 2023, Paris, France, pp. 14972-14982.

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  • A. Dhamanaskar, M. Dimiccoli, E. Corona, A. Pumarola and F. Moreno-Noguer. Enhancing egocentric 3D pose estimation with third person views . Pattern Recognition, 138(109358), 2023.

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  • D.F. Ordoñez, M. Martin, A. Agudo and F. Moreno-Noguer. On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis, 2023 Robotics: Science and Systems Conference, 2023, Daegu, Republic of Korea.

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  • J. Laplaza, F. Moreno-Noguer and A. Sanfeliu. Context and intention aware 3D human body motion prediction using an attention deep learning model in handover tasks, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022, Kyoto, pp. 4743-4748.

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  • J. Laplaza, F. Moreno-Noguer and A. Sanfeliu. Context attention: Human motion prediction using context information and deep learning attention models, 5th Iberian Robotics Conference, 2022, Zaragoza, Spain, Vol 590 of Lecture Notes in Networks and Systems, pp. 102-112, 2023.

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  • 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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  • E. Corona, G. Pons-Moll, G. Alenyà and F. Moreno-Noguer. Learned Vertex Descent: a new direction for 3D human model fitting, 17th European Conference on Computer Vision, 2022, Tel Aviv (Israel), in Computer Vision – ECCV 2022 , Vol 13666 of Lecture Notes in Computer Science, pp. 146--165, 2022.

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