- 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
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.
Ringach, D. L., et al. “A simple reverse correlation scheme for the identification of visual neurons.” Investigative Ophthalmology and Visual Science, vol. 37, no. 3, Feb. 1996.
Ringach, D. L., et al. “A simple reverse correlation scheme for the identification of visual neurons.” Investigative Ophthalmology & Visual Science, vol. 37, no. 3, Feb. 1996, pp. 4178–4178.
Malladi, R., et al. “Geometric approach to segmentation and analysis of 3D medical images.” Proceedings of the Workship on Mathematical Methods in Biomedical Image Analysis, Jan. 1996, pp. 244–52.
Olver, P. J., et al. “Affine invariant detection: edges, active contours, and segments.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, Jan. 1996, pp. 520–25.
Sapiro, G., and D. L. Ringach. “Anisotropic diffusion of color images.” Proceedings of Spie the International Society for Optical Engineering, vol. 2657, Jan. 1996, pp. 471–82.
Sapiro, G. “Vector-valued active contours.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, Jan. 1996, pp. 680–85.
Weinberger, M. J., et al. “LOCO-I: a low complexity, context-based, lossless image compression algorithm.” Data Compression Conference Proceedings, Jan. 1996, pp. 140–49.
Sapiro, G., and D. L. Ringach. “Anisotropic diffusion of multivalued images with applications to color filtering..” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society, vol. 5, no. 11, Jan. 1996, pp. 1582–86. Epmc, doi:10.1109/83.541429. Full Text
Ringach, D. L., et al. “Cortical circuitry revealed by reverse correlation in the orientation domain.” Perception, vol. 25, 1996, pp. 31–31.
Sapiro, G. “Geometric partial differential equations in image analysis: past, present, and future.” Ieee International Conference on Image Processing, vol. 3, Dec. 1995, pp. 1–4.