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

Publications

  • A. Rubio, L. Yu, E. Simo-Serra and F. Moreno-Noguer. Multi-modal embedding for main product detection in fashion, 2017 ICCV Workshop on Computer Vision for Fashion, 2017, Venice, Italy, to appear.

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  • I. del Pino, V. Vaquero, B. Masini, J. Solà, F. Moreno-Noguer, A. Sanfeliu and J. Andrade-Cetto. Low resolution lidar-based multi object tracking for driving applications, 3rd Iberian Robotics Conference, 2017, Seville, in Robot 2017: Third Iberian Robotics Conference, Springer, to appear.

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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, 2017, to appear.

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  • M. Arduengo, S.J. Jorgensen, K. Hambuchen, L. Sentis, F. Moreno-Noguer and G. Alenyà. ROS wrapper for real-time multi-person pose estimation with a single camera. Technical Report IRI-TR-17-02, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, 2017.

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  • V. Vaquero, I. del Pino, F. Moreno-Noguer, J. Solà, A. Sanfeliu and J. Andrade-Cetto. Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios, 8th European Conference on Mobile Robots, 2017, Paris, France, to appear.

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  • A. Rubio, L. Yu, E. Simo-Serra and F. Moreno-Noguer. Multi-modal joint embedding for fashion product retrieval, 2017 IEEE International Conference on Image Processing, 2017, Beijing, to appear.

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  • A. Rubio, L. Yu, E. Simo-Serra and F. Moreno-Noguer. Multi-modal fashion product retrieval, 6th Workshop on Vision and Language, 2017, Valencia, pp. 43-45.

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  • V. Vaquero, G. Ros, F. Moreno-Noguer, A. M. and A. Sanfeliu. Joint coarse-and-fine reasoning for deep optical flow, 2017 IEEE International Conference on Image Processing, 2017, Beijing, to appear.

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  • A. Agudo and F. Moreno-Noguer. DUST: Dual union of spatio-temporal subspaces for monocular multiple object 3D reconstruction, 2017 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2017, Honolulu, USA, pp. 1513-1521, IEEE.

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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, 2017, to appear.

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PhD Theses as supervisor