Guillermo Sapiro

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

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

Kuybeda, O, Frank, GA, Bartesaghi, A, Borgnia, M, Subramaniam, S, and Sapiro, G. "A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography." J Struct Biol 181.2 (February 2013): 116-127. 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 (January 9, 2013).

Fiori, M, Sprechmann, P, Vogelstein, J, Musé, P, and Sapiro, G. "Robust multimodal graph matching: Sparse coding meets graph matching." Advances in Neural Information Processing Systems (January 1, 2013).

Llull, P, Liao, X, Yuan, X, Yang, J, Kittle, D, Carin, L, Sapiro, G, and Brady, DJ. "Compressive sensing for video using a passive coding element." Optics InfoBase Conference Papers (January 1, 2013).

Sprechmann, P, Litman, R, Ben Yakar, T, Bronstein, A, and Sapiro, G. "Efficient supervised sparse analysis and synthesis operators." Advances in Neural Information Processing Systems (January 1, 2013).

Elhamifar, E, Sapiro, G, Yang, A, and Sasrty, SS. "A convex optimization framework for active learning." Proceedings of the IEEE International Conference on Computer Vision (January 1, 2013): 209-216. Full Text

Zhan, L, Mueller, BA, Jahanshad, N, Jin, Y, Lenglet, C, Yacoub, E, Sapiro, G, Ugurbil, K, Harel, N, Toga, AW, Lim, KO, and Thompson, PM. "Magnetic resonance field strength effects on diffusion measures and brain connectivity networks." Brain Connect 3.1 (2013): 72-86. Full Text

Duarte-Carvajalino, JM, Yu, G, Carin, L, and Sapiro, G. "Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models." IEEE Trans. Signal Processing 61 (2013): 585-600. Full Text

Caruyer, E, Aganj, I, Lenglet, C, Sapiro, G, and Deriche, R. "Motion Detection in Diffusion MRI via Online ODF Estimation." Int J Biomed Imaging 2013 (2013): 849363-. Full Text


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

Mairal, J, Bach, FR, Ponce, J, Sapiro, G, and Zisserman, A. "Supervised Dictionary Learning." Curran Associates, Inc., 2008.

Mairal, J, Sapiro, G, Elad, M, and IEEE, . "Multiscale sparse image representation with learned dictionaries." 2007.

Bartesaghi, A, Sprechmann, P, Randall, G, Sapiro, G, and Subramaniam, S. "A framework for classification and averaging of 3D tomographic volumes." January 2007.

Rother, D, Patwardhan, KA, and Sapiro, G. "What Can Casual Walkers Tell Us About A 3D Scene?." IEEE Computer Society, 2007. Full Text

Patwardhan, KA, Sapiro, G, Bertalmio, M, and IEEE, . "Video inpainting of occluding and occluded objects." 2005.