Guillermo Sapiro

Guillermo Sapiro
  • James B. Duke 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. He was elected to the American Academy of Arts and Sciences on 2018.

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

Elhamifar, E, Sapiro, G, and Vidal, R. "See all by looking at a few: Sparse modeling for finding representative objects." Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition (October 1, 2012): 1600-1607. Full Text

Ramírez, I, and Sapiro, G. "Universal regularizers for robust sparse coding and modeling." IEEE Trans Image Process 21.9 (September 2012): 3850-3864. Full Text

Esser, E, Möller, M, Osher, S, Sapiro, G, and Xin, J. "A convex model for nonnegative matrix factorization and dimensionality reduction on physical space." Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society 21.7 (July 2012): 3239-3252. Full Text

Yatziv, L, Chartouni, M, Datta, S, and Sapiro, G. "Toward multiple catheters detection in fluoroscopic image guided interventions." IEEE Trans Inf Technol Biomed 16.4 (July 2012): 770-781. Full Text

Sapiro, G. "ON THE STATE Classes at College d eFrance, 1989-1992." QUINZAINE LITTERAIRE 1061 (May 16, 2012): 4-4.

Yu, G, Sapiro, G, and Mallat, S. "Solving inverse problems with piecewise linear estimators: from Gaussian mixture models to structured sparsity." Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society 21.5 (May 2012): 2481-2499. Full Text

Frank, GA, Bartesaghi, A, Kuybeda, O, Borgnia, MJ, White, TA, Sapiro, G, and Subramaniam, S. "Computational separation of conformational heterogeneity using cryo-electron tomography and 3D sub-volume averaging." Journal of structural biology 178.2 (May 2012): 165-176. Full Text

Mahmoudi, M, and Sapiro, G. "Sparse representations for range data restoration." IEEE Trans Image Process 21.5 (May 2012): 2909-2915. (Letter) Full Text

Aganj, I, Lenglet, C, Yacoub, E, Sapiro, G, and Harel, N. "A 3D wavelet fusion approach for the reconstruction of isotropic-resolution MR images from orthogonal anisotropic-resolution scans." Magn Reson Med 67.4 (April 2012): 1167-1172. Full Text