- 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.
Faugeras, O., et al. “Special issue on partial differential equations in image processing, computer vision, and computer graphics.” Journal of Visual Communication and Image Representation, vol. 13, no. 1–2, Jan. 2002, pp. 1–2. Scopus, doi:10.1006/jvci.2002.0505. Full Text
Pardo, A., and G. Sapiro. “Visualization of high dynamic range images.” Ieee International Conference on Image Processing, vol. 1, Jan. 2002.
Rane, S. D., et al. “Structure and texture filling-in of missing image blocks in wireless transmission and compression.” Ieee International Conference on Image Processing, vol. 1, Jan. 2002.
Rane, S. D., et al. “Wavelet-domain reconstruction of lost blocks in wireless image transmission and packet-switched networks.” Ieee International Conference on Image Processing, vol. 1, Jan. 2002.
Bertalmío, M., et al. “Variational problems and partial differential equations on implicit surfaces.” Journal of Computational Physics, vol. 174, no. 2, Dec. 2001, pp. 759–80. Scopus, doi:10.1006/jcph.2001.6937. Full Text
Bertalmío, M., et al. “Navier-Stokes, fluid dynamics, and image and video inpainting.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, Dec. 2001.
Mémoli, F., and G. Sapiro. “Fast computation of weighted distance functions and geodesics on implicit hyper-surfaces.” Journal of Computational Physics, vol. 173, no. 2, Nov. 2001, pp. 730–64. Scopus, doi:10.1006/jcph.2001.6910. Full Text
Rane, S. D., and G. Sapiro. “Evaluation of JPEG-LS, the new lossless and controlled-lossy still image compression standard, for compression of high-resolution elevation data.” Ieee Transactions on Geoscience and Remote Sensing, vol. 39, no. 10, Oct. 2001, pp. 2298–306. Scopus, doi:10.1109/36.957293. Full Text
Bartesaghi, A., and G. Sapiro. “A system for the generation of curves on 3D brain images.” Human Brain Mapping, vol. 14, no. 1, Sept. 2001, pp. 1–15. Epmc, doi:10.1002/hbm.1037. Full Text
Betelu, S., et al. “On the computation of the affine skeletons of planar curves and the detection of skew symmetry.” Pattern Recognition, vol. 34, no. 5, May 2001, pp. 943–52. Scopus, doi:10.1016/S0031-3203(00)00045-5. Full Text