Guillermo Sapiro

  • Edmund T. Pratt, Jr. School Professor of Electrical and Computer Engineering
  • Professor of Electrical and Computer Engineering
  • Professor of Computer Science (Secondary)
  • Professor of Mathematics (Secondary)
  • Faculty Network Member of the Duke Institute for Brain Sciences
Internal office address: 140 Science Drive, 325 Gross Hall, Durham, NC 27708
Office Hours: 

By appointment. Contact via e-mail.

Guillermo Sapiro received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the Department of Electrical Engineering at the Technion, Israel Institute of Technology, in 1989, 1991, and 1993 respectively. After post-doctoral research at MIT, Dr. Sapiro became Member of Technical Staff at the research facilities of HP Labs in Palo Alto, California. He was with the Department of Electrical and Computer Engineering at the University of Minnesota, where he held the position of Distinguished McKnight University Professor and Vincentine Hermes-Luh Chair in Electrical and Computer Engineering. Currently he is the Edmund T. Pratt, Jr. School Professor with Duke University.

G. Sapiro works on theory and applications in computer vision, computer graphics, medical imaging, image analysis, and machine learning. He has authored and co-authored over 300 papers in these areas and has written a book published by Cambridge University Press, January 2001.

G. Sapiro was awarded the Gutwirth Scholarship for Special Excellence in Graduate Studies in 1991,  the Ollendorff Fellowship for Excellence in Vision and Image Understanding Work in 1992,  the Rothschild Fellowship for Post-Doctoral Studies in 1993, the Office of Naval Research Young Investigator Award in 1998,  the Presidential Early Career Awards for Scientist and Engineers (PECASE) in 1998, the National Science Foundation Career Award in 1999, and the National Security Science and Engineering Faculty Fellowship in 2010. He received the test of time award at ICCV 2011.

G. Sapiro is a Fellow of IEEE and SIAM.

G. Sapiro was the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences.

Education & Training
  • D.Sc., Israel Institute of Technology 1993

Tepper, M, and Sapiro, G. "Fast L1 smoothing splines with an application to Kinect depth data." 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (December 1, 2013): 504-508. Full Text

Sprechmann, P, Bronstein, A, Morel, JM, and Sapiro, G. "Audio restoration from multiple copies." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (October 18, 2013): 878-882. Full Text

Sprechmann, P, Bronstein, A, Bronstein, M, and Sapiro, G. "Learnable low rank sparse models for speech denoising." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (October 18, 2013): 136-140. Full Text

Sotiropoulos, SN, Jbabdi, S, Xu, J, Andersson, JL, Moeller, S, Auerbach, EJ, Glasser, MF, Hernandez, M, Sapiro, G, Jenkinson, M, Feinberg, DA, Yacoub, E, Lenglet, C, Van Essen, DC, Ugurbil, K, Behrens, TEJ, and WU-Minn HCP Consortium, . "Advances in diffusion MRI acquisition and processing in the Human Connectome Project." Neuroimage 80 (October 15, 2013): 125-143. Full Text

Uğurbil, K, Xu, J, Auerbach, EJ, Moeller, S, Vu, AT, Duarte-Carvajalino, JM, Lenglet, C, Wu, X, Schmitter, S, Van de Moortele, PF, Strupp, J, Sapiro, G, De Martino, F, Wang, D, Harel, N, Garwood, M, Chen, L, Feinberg, DA, Smith, SM, Miller, KL, Sotiropoulos, SN, Jbabdi, S, Andersson, JLR, Behrens, TEJ, Glasser, MF, Van Essen, DC, Yacoub, E, and WU-Minn HCP Consortium, . "Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project." Neuroimage 80 (October 15, 2013): 80-104. Full Text

Cetingul, HE, Dumont, L, Nadar, MS, Thompson, PM, Sapiro, G, and Lenglet, C. "Importance sampling spherical harmonics to improve probabilistic tractography." Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013 (October 15, 2013): 46-49. Full Text

Chen, B, Polatkan, G, Sapiro, G, Blei, D, Dunson, D, and Carin, L. "Deep learning with hierarchical convolutional factor analysis." IEEE Trans Pattern Anal Mach Intell 35.8 (August 2013): 1887-1901. Full Text

Caruyer, E, Lenglet, C, Sapiro, G, and Deriche, R. "Design of multishell sampling schemes with uniform coverage in diffusion MRI." Magn Reson Med 69.6 (June 2013): 1534-1540. Full Text

Su, S, White, T, Schmidt, M, Kao, C-Y, and Sapiro, G. "Geometric computation of human gyrification indexes from magnetic resonance images." Hum Brain Mapp 34.5 (May 2013): 1230-1244. Full Text

Harris, AK, Meyerson, JR, Matsuoka, Y, Kuybeda, O, Moran, A, Bliss, D, Das, SR, Yewdell, JW, Sapiro, G, Subbarao, K, and Subramaniam, S. "Structure and accessibility of HA trimers on intact 2009 H1N1 pandemic influenza virus to stem region-specific neutralizing antibodies." Proc Natl Acad Sci U S A 110.12 (March 19, 2013): 4592-4597. Full Text


Sprechmann, P, Bronstein, AM, and Sapiro, G. "Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling." FEUP Edições, 2012.

Hashemi, J, Spina, TV, Tepper, M, Esler, A, Morellas, V, Papanikolopoulos, N, and Sapiro, G. "A computer vision approach for the assessment of autism-related behavioral markers." IEEE, 2012. Full Text

Fasching, J, Walczak, N, Sivalingam, R, Cullen, K, Murphy, B, Sapiro, G, Morellas, V, and Papanikolopoulos, N. "Detecting risk-markers in children in a preschool classroom." IEEE, 2012. Full Text

Léger, F, Yu, G, and Sapiro, G. "Efficient matrix completion with Gaussian models." IEEE, 2011. Full Text

Sprechmann, P, Ramírez, I, Cancela, P, and Sapiro, G. "Collaborative sources identification in mixed signals via hierarchical sparse modeling." IEEE, 2011. Full Text

Sprechmann, P, Ramírez, I, Sapiro, G, and Eldar, YC. "Collaborative hierarchical sparse modeling." IEEE, 2010. Full Text

Rother, D, and Sapiro, G. "Seeing 3D objects in a single 2D image." IEEE Computer Society, 2009. Full Text

Ramirez, I, Lecumberry, F, Sapiro, G, and IEEE, . "Universal Priors for Sparse Modeling." 2009. Full Text