Francesc Moreno Noguer

Científico Titular


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

As leader

As contributor

Publications

  • A. Agudo and F. Moreno-Noguer. Robust spatio-temporal clustering and reconstruction of multiple deformable bodies. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, to appear.

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  • G. Rotger, F. Lumbreras, F. Moreno-Noguer and A. Agudo. 2D-to-3D facial expression transfer, 2018 International Conference on Pattern Recognition, 2018, Beijing, China, to appear.

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  • A. Pumarola, A. Agudo, A. Sanfeliu and F. Moreno-Noguer. Unsupervised person image synthesis in arbitrary poses, 2018 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2018, Salt Lake City, to appear.

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  • A. Pumarola, A. Agudo, L. Porzi, A. Sanfeliu, V. Lepetit and F. Moreno-Noguer. Geometry-aware network for non-rigid shape prediction from a single view, 2018 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2018, Salt Lake City, to appear.

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  • A. Agudo, M. Pijoan and F. Moreno-Noguer. Image collection pop-up: 3D reconstruction and clustering of rigid and non-rigid categories, 2018 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2018, Salt Lake City, to appear.

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  • V. Vaquero, A. Sanfeliu and F. Moreno-Noguer. Deep lidar CNN to understand the dynamics of moving vehicles, 2018 IEEE International Conference on Robotics and Automation, 2018, Brisbane, Australia, to appear.

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  • A. Ramisa, F. Yan, F. Moreno-Noguer and K. Mikolajczyk. BreakingNews: Article annotation by image and text processing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, to appear.

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  • A. Agudo and F. Moreno-Noguer. A scalable, efficient, and accurate solution to non-rigid structure from motion. Computer Vision and Image Understanding, 167: 121-133, 2018.

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  • A. Agudo and F. Moreno-Noguer. Force-based representation for non-rigid shape and elastic model estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, to appear.

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  • M. Villamizar, J. Andrade-Cetto, A. Sanfeliu and F. Moreno-Noguer. Boosted random ferns for object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(2): 272-288, 2018.

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PhD Theses as supervisor