Research interests

• Image processing: Restoration, inpainting, day for night.
  
• Computer vision: Background subtraction, shape from silhouette.
  
• Numerical analysis: Shallow water simulation.
  
• Manifold learning: Dimension estimation, clustering.

Publications

Journals

• Flux-gradient and source term balancing for certain high resolution shock-capturing schemes.
  V. Caselles, R. Donat, G. Haro. Computers and Fluids, 38(1), pages 16-36, 2009.

• Translated Poisson Mixture Model for Stratification Learning. [code available upon request]
  G. Haro, G. Randall and G. Sapiro. International Journal of Computer Vision, 80(3), pages 358-374, 2008.

• A TV based restoration model with local constraints.
  A. Almansa, C. Ballester, V. Caselles, and G. Haro. Journal of Scientific Computing, 34(3), pages 209-236, 2008.

• On Geometric Variational Models for Inpainting Surface Holes.
  V. Caselles, G. Haro, G. Sapiro and J. Verdera. Computer Vision and Image Understanding, 111(3), pages 351-373, 2008.

• Restoration and zoom of irregularly sampled, blurred and noisy images by accurate total variation minimization with local constraints.
  A. Almansa, V. Caselles, G. Haro and B. Rougé. Multiscale Modeling and Simulation, 5(1), pages 235-272, 2006.

• Visual Acuity in Day for Night.
  G. Haro, M. Bertalmío, V. Caselles. International Journal of Computer Vision, 69(1), pages 109-117, 2006.

• Mathematical Methods for Diffusion MRI Processing
  C. Lenglet, J.S.W. Campbell, M. Descoteaux, G. Haro, P. Savadjiev, D. Wassermann, A. Anwander, R. Deriche, G.B. Pike, G. Sapiro, K. Siddiqi, P. Thompson. Neuroimage. In Press.

Book Chapters

• PDE-Based Image and Surface Inpainting.
  M. Bertalmío, V. Caselles, G. Haro, and G. Sapiro. In The Handbook of Mathematical Models in Computer Vision. Edited by N. Paragios, Y. Chen, O. Faugeras, Springer 2005.

Proceedings

• On the Non-Uniform Complexity of Brain Connectivity.
  G. Haro, C. Lenglet, G. Sapiro, P. Thompson. Proc. IEEE Intl. Symposium on Biomedical Imaging: From Nano to Macro, Paris, France, May 2008.

• Regularized Mixed Dimensionality and Density Learning in Computer Vision.
  G. Haro, G. Randall and G. Sapiro. Proceedings of 1st Workshop on Component Analysis Methods for Classification, Clustering, Modeling and Estimation Problems in Computer Vision, in conjunction with CVPR 2007.

• Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds.
  G. Haro, G. Randall and G. Sapiro. Neural Information Processing Systems, NIPS 2006.

• Visual Acuity in Day for Night.
  G. Haro, M. Bertalmío, V. Caselles. Proceedings of 2nd IEEE Workshop on Variational, Geometric and Level Set Methods in Computer Vision, in conjunction with IEEE-ICCV, Nice, France, October 2003.

Reports

• 3D registration of MRIa data and EEG/MEG (headshape).
  G. Haro. Engineering Degree (MSc) Thesis, INRIA Sophia Antipolis, France, November 2000.

• Numerical simulation of water erosion models and some physical models in image processing.
  G. Haro. Diploma of Advances Studies Degree Thesis, Universitat Pompeu Fabra, September 2003.

PhD Thesis

• Numerical simulation of shallow water equations and some physical models in image processing.
  Universitat Pompeu Fabra, July 2005.
  Advisors: Vicent Caselles and Rosa Donat.

Slides and Posters

• Stratification learning, December 2006. (poster)
  
• Image restoration, February, 2006. (slides)
  
• Shallow water equations, October 2004. (slides)