- James B. Duke 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. 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.
Giryes, R, Sapiro, G, and Bronstein, AM. "Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?." Ieee Transactions on Signal Processing 64.13 (July 1, 2016): 3444-3457. Full Text
Tepper, M, and Sapiro, G. "Compressed Nonnegative Matrix Factorization Is Fast and Accurate." Ieee Transactions on Signal Processing 64.9 (May 1, 2016): 2269-2283. Full Text
Lyzinski, V, Fishkind, DE, Fiori, M, Vogelstein, JT, Priebe, CE, and Sapiro, G. "Graph Matching: Relax at Your Own Risk." Ieee Transactions on Pattern Analysis and Machine Intelligence 38.1 (January 2016): 60-73. Full Text
Carpenter, KLH, Sprechmann, P, Calderbank, R, Sapiro, G, and Egger, HL. "Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach." PloS one 11.11 (January 2016): e0165524-. Full Text
Hashemi, J, Campbell, K, Carpenter, KLH, Harris, A, Qiu, Q, Tepper, M, Espinosa, S, Borg, JS, Marsan, S, Calderbank, R, Baker, JP, Egger, HL, Dawson, G, and Sapiro, G. "A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study." Mobihealth 2015 5th Eai International Conference on Wireless Mobile Communication and Healthcare Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (December 22, 2015). Full Text
Delbracio, M, and Sapiro, G. "Removing camera shake via weighted fourier burst accumulation." Ieee Transactions on Image Processing 24.11 (November 1, 2015): 3293-3307. Full Text
Qiu, Q, and Sapiro, G. "Learning transformations for clustering and classification." Journal of Machine Learning Research 16 (February 1, 2015): 187-225.
Yang, J, Liao, X, Yuan, X, Llull, P, Brady, DJ, Sapiro, G, and Carin, L. "Compressive sensing by learning a Gaussian mixture model from measurements." Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society 24.1 (January 2015): 106-119. Full Text
Dennis, EL, Zhan, L, Jahanshad, N, Mueller, BA, Jin, Y, Lenglet, C, Yacoub, E, Sapiro, G, Ugurbil, K, Harel, N, Toga, A, Lim, KO, and Thompson, PM. "Rich club analysis of structural brain connectivity at 7 tesla versus 3 tesla." January 1, 2014. Full Text
Yuan, X, Llull, P, Liao, X, Yang, J, Brady, DJ, Sapiro, G, and Carin, L. "Low-cost compressive sensing for color video and depth." January 1, 2014. Full Text
Harris, AK, Meyerson, JR, Matsuoka, Y, Kuybeda, O, Moran, A, Bliss, D, Das, SR, Yewdell, J, Sapiro, G, Subbarao, K, and Subramaniam, S. "Molecular Structures of Native HA Trimers on 2009 H1N1 Pandemic Influenza Virus Complexed with Neutralizing Antibodies." January 29, 2013. Full Text
Tang, Z, Tepper, M, and Sapiro, G. "Reflective Symmetry Detection by Rectifying Randomized Correspondences." 2013. Full Text
Frank, GA, Kuybeda, O, Bartesaghi, A, Borgnia, MJ, Sapiro, G, and Subramaniam, S. "Computational Separation of Conformational Heterogeneity using Cryo-Electron Tomography and 3D Sub-Volume Averaging." January 2013. Full Text
Zhou, T, Shan, H, Banerjee, A, and Sapiro, G. "Kernelized probabilistic matrix factorization: Exploiting graphs and side information." December 1, 2012.
Castrodad, A, Khuon, T, Rand, R, and Sapiro, G. "Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping." December 1, 2012. Full Text
Sprechmann, P, Bronstein, A, and Sapiro, G. "Real-time online singing voice separation from monaural recordings using robust low-rank modeling." December 1, 2012.
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." December 1, 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." December 1, 2012. Full Text