- 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.
Neoh, H. S., and G. Sapiro. “Using anisotropic diffusion of probability maps for activity detection in block-design functional MRI.” Ieee International Conference on Image Processing, vol. 1, Dec. 2000, pp. 621–24.
Chung, D. H., and G. Sapiro. “Segmentation-free skeletonization of gray-scale images via PDE's.” Ieee International Conference on Image Processing, vol. 2, Dec. 2000, pp. 927–30.
Chung, D. H., and G. Sapiro. “On the level lines and geometry of vector-valued images.” Ieee Signal Processing Letters, vol. 7, no. 9, Sept. 2000, pp. 241–43. Scopus, doi:10.1109/97.863143. Full Text
Chung, D. H., and G. Sapiro. “Segmenting skin lesions with partial-differential-equations-based image processing algorithms..” Ieee Transactions on Medical Imaging, vol. 19, no. 7, July 2000, pp. 763–67. Epmc, doi:10.1109/42.875204. Full Text
Faugeras, Olivier, et al. “Special Issue on the Second International Conference on Scale Space Theory in Computer Vision.” Journal of Visual Communication and Image Representation, vol. 11, no. 2, Elsevier BV, June 2000, pp. 95–95. Crossref, doi:10.1006/jvci.1999.0436. Full Text
Haker, S., et al. “Conformal surface parameterization for texture mapping.” Ieee Transactions on Visualization and Computer Graphics, vol. 6, no. 2, Apr. 2000, pp. 181–89. Scopus, doi:10.1109/2945.856998. Full Text
Weinberger, M. J., et al. “The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS..” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society, vol. 9, no. 8, Jan. 2000, pp. 1309–24. Epmc, doi:10.1109/83.855427. Full Text
Haker, S., et al. “Knowledge-based segmentation of SAR data with learned priors..” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society, vol. 9, no. 2, Jan. 2000, pp. 299–301. Epmc, doi:10.1109/83.821747. Full Text
Pardo, A., and G. Sapiro. “Vector probability diffusion.” Ieee International Conference on Image Processing, vol. 1, 2000, pp. 884–87.