Guillermo Sapiro

Guillermo Sapiro
  • James B. Duke Distinguished Professor of Electrical and Computer Engineering
  • Professor of Electrical and Computer Engineering
  • Professor of Mathematics (Secondary)
  • Professor of Computer Science (Secondary)
  • Faculty Network Member of the Duke Institute for Brain Sciences
Internal office address: Campus Box 90984, 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 (Israel) 1993

Yu, G., et al. “Image modeling and enhancement via structured sparse model selection.” Proceedings  International Conference on Image Processing, Icip, Dec. 2010, pp. 1641–44. Scopus, doi:10.1109/ICIP.2010.5653853. Full Text

Steinmetz, George, et al. “All scientific careers have autobiographical moments.” Actes De La Recherche En Sciences Sociales, no. 185, Dec. 2010, pp. 44–61.

Sapiro, Gisele, et al. “The production of colonial and post-colonial representations.” Actes De La Recherche En Sciences Sociales, no. 185, Dec. 2010, pp. 4–11.

Bar, L., and G. Sapiro. “Hierarchical dictionary learning for invariant classification.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing  Proceedings, Nov. 2010, pp. 3578–81. Scopus, doi:10.1109/ICASSP.2010.5495916. Full Text

Sprechmann, P., and G. Sapiro. “Dictionary learning and sparse coding for unsupervised clustering.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing  Proceedings, Nov. 2010, pp. 2042–45. Scopus, doi:10.1109/ICASSP.2010.5494985. Full Text

Bugeau, Aurélie, et al. “A comprehensive framework for image inpainting.Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society, vol. 19, no. 10, Oct. 2010, pp. 2634–45. Epmc, doi:10.1109/tip.2010.2049240. Full Text

Bronstein, A. M., et al. “A gromov-hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching.” International Journal of Computer Vision, vol. 89, no. 2–3, Sept. 2010, pp. 266–86. Scopus, doi:10.1007/s11263-009-0301-6. Full Text

Ramirez, I., et al. “Classification and clustering via dictionary learning with structured incoherence and shared features.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, Aug. 2010, pp. 3501–08. Scopus, doi:10.1109/CVPR.2010.5539964. Full Text

Caruyer, E., et al. “Online orientation distribution function reconstrugtion in constant solid angle and its application to motion detection in HARDI.” 2010 7th Ieee International Symposium on Biomedical Imaging: From Nano to Macro, Isbi 2010  Proceedings, Aug. 2010, pp. 812–15. Scopus, doi:10.1109/ISBI.2010.5490052. Full Text

Aganj, Iman, et al. “Reconstruction of the orientation distribution function in single- and multiple-shell q-ball imaging within constant solid angle.Magnetic Resonance in Medicine, vol. 64, no. 2, Aug. 2010, pp. 554–66. Epmc, doi:10.1002/mrm.22365. Full Text