- 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
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.
Tepper, M, and Sapiro, G. "Ants crawling to discover the community structure in networks." Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8259 LNCS.PART 2 (December 1, 2013): 552-559. Full Text
Yang, J, Yuan, X, Liao, X, Llull, P, Sapiro, G, Brady, DJ, and Carin, L. "Gaussian mixture model for video compressive sensing." 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (December 1, 2013): 19-23. Full Text
Tepper, M, and Sapiro, G. "Fast L1 smoothing splines with an application to Kinect depth data." 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (December 1, 2013): 504-508. Full Text
Yuan, X, Yang, J, Llull, P, Liao, X, Sapiro, G, Brady, DJ, and Carin, L. "Adaptive temporal compressive sensing for video." 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (December 1, 2013): 14-18. Full Text Open Access Copy
Sprechmann, P, Bronstein, A, Morel, JM, and Sapiro, G. "Audio restoration from multiple copies." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (October 18, 2013): 878-882. Full Text
Sprechmann, P, Bronstein, A, Bronstein, M, and Sapiro, G. "Learnable low rank sparse models for speech denoising." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (October 18, 2013): 136-140. Full Text
Sotiropoulos, SN, Jbabdi, S, Xu, J, Andersson, JL, Moeller, S, Auerbach, EJ, Glasser, MF, Hernandez, M, Sapiro, G, Jenkinson, M, Feinberg, DA, Yacoub, E, Lenglet, C, Van Essen, DC, Ugurbil, K, Behrens, TEJ, and WU-Minn HCP Consortium, . "Advances in diffusion MRI acquisition and processing in the Human Connectome Project." Neuroimage 80 (October 15, 2013): 125-143. Full Text
Uğurbil, K, Xu, J, Auerbach, EJ, Moeller, S, Vu, AT, Duarte-Carvajalino, JM, Lenglet, C, Wu, X, Schmitter, S, Van de Moortele, PF, Strupp, J, Sapiro, G, De Martino, F, Wang, D, Harel, N, Garwood, M, Chen, L, Feinberg, DA, Smith, SM, Miller, KL, Sotiropoulos, SN, Jbabdi, S, Andersson, JLR, Behrens, TEJ, Glasser, MF, Van Essen, DC, Yacoub, E, and WU-Minn HCP Consortium, . "Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project." Neuroimage 80 (October 15, 2013): 80-104. Full Text
Cetingul, HE, Dumont, L, Nadar, MS, Thompson, PM, Sapiro, G, and Lenglet, C. "Importance sampling spherical harmonics to improve probabilistic tractography." Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013 (October 15, 2013): 46-49. 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 35.8 (August 2013): 1887-1901. Full Text
Hashemi, J, Spina, TV, Tepper, M, Esler, A, Morellas, V, Papanikolopoulos, N, and Sapiro, G. "A computer vision approach for the assessment of autism-related behavioral markers." IEEE, 2012. Full Text
Fasching, J, Walczak, N, Sivalingam, R, Cullen, K, Murphy, B, Sapiro, G, Morellas, V, and Papanikolopoulos, N. "Detecting risk-markers in children in a preschool classroom." IEEE, 2012. Full Text
Ramírez, I, and Sapiro, G. "LOw-rank data modeling via the minimum description length principle." IEEE, 2012. Full Text
Zhou, T, Shan, H, Banerjee, A, and Sapiro, G. "Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information." SIAM / Omnipress, 2012. Full Text
Yu, G, and Sapiro, G. "Statistical compressive sensing of Gaussian mixture models." IEEE, 2011. Full Text
Léger, F, Yu, G, and Sapiro, G. "Efficient matrix completion with Gaussian models." IEEE, 2011. Full Text
Sprechmann, P, Ramírez, I, Cancela, P, and Sapiro, G. "Collaborative sources identification in mixed signals via hierarchical sparse modeling." IEEE, 2011. Full Text
Shema-Didi, L, Sela, S, Geron, R, Sapiro, G, Ore, L, and Kristal, B. "The Beneficial Effects of One Year Pomegranate Juice Consumption on Traditional and Nontraditional Risk Factors for Cardiovascular Diseases." 2010. Full Text