Antonio Agudo

I am an associate researcher in Institut de Robòtica i Informàtica Industrial (CSIC-UPC). I received the M.Sc. degree in industrial engineering and electronics in 2010, M.Sc. degree in computer science in 2011, and the Ph.D. degree in computer vision and robotics in 2015, from University of Zaragoza. He was a visiting student at vision group of Queen Mary University of London in 2013 and with the vision and imaging science group of University College London in 2014. He was also a visiting fellow at Harvard University in 2015. My research interests include non-rigid structure from motion, machine learning, and deformation analysis to medical and robotics applications.



Email:

aagudo(AT)iri.upc.edu

Phone:

+34 934015791.

Address:

Institut de Robòtica i Informàtica Industrial (CSIC-UPC)
Llorens i Artigas 4-6,
08028, Barcelona, Spain.

Research



  1. Antonio Agudo and Francesc Moreno-Noguer
    A Scalable, Efficient, and Accurate Solution to Non-Rigid Structure from Motion [draft]
    Submitted to journal, 2017.
  2. Antonio Agudo and Francesc Moreno-Noguer
    Force-based Representation for Non-Rigid Shape and Elastic Model Estimation [draft] [bibtex] [code]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2018, to appear.
  3. Antonio Agudo and Francesc Moreno-Noguer [poster]
    DUST: Dual Union of Spatio-Temporal Subspaces for Monocular Multiple Object 3D Reconstruction [draft]
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu (Hawaii, USA), 2017.
  4. Albert Pumarola, Alexander Vakhitov, Antonio Agudo, Alberto Sanfeliu and Francesc Moreno-Noguer
    PL-SLAM: Real-Time Monocular Visual SLAM with Points and Lines [draft]
    IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017.
  5. Antonio Agudo and Francesc Moreno-Noguer
    Global Model with Local Interpretation for Dynamic Shape Reconstruction [draft]
    IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa (California, USA), 2017.
  6. Antonio Agudo and Francesc Moreno-Noguer
    Combining Local-Physical and Global-Statistical Models for Sequential Deformable Shape from Motion [draft] [bibtex]
    International Journal of Computer Vision (IJCV), 122(2): 371-387, 2017.
  7. Antonio Agudo and Francesc Moreno-Noguer
    Recovering Pose and 3D Deformable Shape from Multi-Instance Image Ensembles [draft] [bibtex]
    Asian Conference on Computer Vision (ACCV), Taipei (Taiwan), 2016.
  8. Antonio Agudo, J. M. M. Montiel, Lourdes Agapito and Begoña Calvo
    Modal Space: A Physics-Based Model for Sequential Estimation of Time-Varying Shape from Monocular Video
    Journal of Mathematical Imaging and Vision (JMIV), 57(1): 75-98, 2017. [bibtex] [draft]
  9. Antonio Agudo, Francesc Moreno-Noguer, Begoña Calvo and J. M. M. Montiel
    Real-Time 3D Reconstruction of Non-Rigid Shapes with a Single Moving Camera [draft] [bibtex]
    Computer Vision and Image Understanding (CVIU), 153(12):37-54, 2016.
  10. Antonio Agudo, J. M. M. Montiel, Begoña Calvo and Francesc Moreno-Noguer
    Mode-Shape Interpretation: Re-Thinking Modal Space for Recovering Deformable Shapes [draft] [bibtex]
    IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid (New York, USA), 2016.
  11. Antonio Agudo and Francesc Moreno-Noguer [poster]
    Learning Shape, Motion and Elastic Models in Force Space [draft] [bibtex] [video]
    IEEE International Conference on Computer Vision (ICCV), Santiago (Chile), 2015.
  12. Antonio Agudo, Francesc Moreno-Noguer, Begoña Calvo and J. M. M. Montiel
    Sequential Non-Rigid Structure from Motion using Physical Priors [draft] [bibtex]
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 38(5):979-994, 2016.
  13. Antonio Agudo and Francesc Moreno-Noguer [poster]
    Simultaneous Pose and Non-Rigid Shape with Particle Dynamics [draft] [bibtex] [video]
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston (Massachusetts, USA), 2015.
  14. Antonio Agudo, J. M. M. Montiel, Lourdes Agapito and Begoña Calvo [poster]
    Online Dense Non-Rigid 3D Shape and Camera Motion Recovery [draft] [bibtex] [video]
    British Machine Vision Conference (BMVC), Nottingham (United Kingdom), 2014.
  15. Antonio Agudo, Lourdes Agapito, Begoña Calvo and J. M. M. Montiel [poster]
    Good Vibrations: A Modal Analysis Approach for Sequential Non-Rigid Structure from Motion [draft] [bibtex] [video]
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Columbus (Ohio, USA), 2014.
  16. Antonio Agudo, Begoña Calvo and J. M. M. Montiel
    3D Reconstruction of Non-Rigid Surfaces in Real-Time using Wedge Elements [draft] [bibtex] [StrongDeformation] [RealTime]
    5th Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment NORDIA (ECCV 2012), Florence (Italy), 2012.
  17. Antonio Agudo, Begoña Calvo and J. M. M. Montiel [poster]
    Finite Element based Sequential Bayesian Non-Rigid Structure from Motion [draft] [bibtex] [silicone] [PaperBending] [FlagPaper]
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Providence (Rhode Island, USA), 2012.
  18. Antonio Agudo, Begoña Calvo and J. M. M. Montiel
    FEM Models to Code Non-Rigid EKF Monocular SLAM [draft] [bibtex] [video] [YouTube]
    1st IEEE International Workshop on Dynamic Shape Capture and Analysis 4DMOD (ICCV 2011), Barcelona (Spain), 2011.
  19. Antonio Agudo
    Sequential Bayesian Non-Rigid Structure from Motion [draft]
    PhD Thesis, University of Zaragoza (Spain), 2015.