Guillermo Sapiro

  • Edmund T. Pratt, Jr. School Professor of Electrical and Computer Engineering
  • Professor of Electrical and Computer Engineering
  • Professor of Mathematics (Secondary)
  • Faculty Network Member of the Duke Institute for Brain Sciences
Internal office address: 140 Science Drive, 325 Gross Hall, Durham, NC 27708
Office Hours: 

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.

 

Education & Training
  • D.Sc., Israel Institute of Technology 1993

Modeling, Computations, and Applications in Multimodal Information Integration awarded by Office of Naval Research (Principal Investigator). 2016 to 2019

Training in Medical Imaging awarded by National Institutes of Health (Mentor). 2003 to 2019

Network motifs in cortical computation awarded by University of California - Los Angeles (Co-Principal Investigator). 2016 to 2019

Synaptomes of Mice and Men awarded by Allen Institute for Brain Science (Principal Investigator). 2014 to 2019

Synaptomes of Mice and Men awarded by Allen Institute for Brain Science (Principal Investigator). 2014 to 2019

Nonparametric Bayes Methods for Big Data in Neuroscience awarded by National Institutes of Health (Co-Mentor). 2014 to 2019

Learning to Exploit Big Data awarded by National Geospatial-Intelligence Agency (Principal Investigator). 2013 to 2017

Multimodal Subspace Learning and Modeling of Complex Systems awarded by Army Research Laboratory (Principal Investigator). 2016 to 2017

Pages

Aganj, I, Sapiro, G, and Harel, N. "Q-Space Modeling in Diffusion-Weighted MRI." Brain Mapping: An Encyclopedic Reference. February 14, 2015. 257-263. Full Text

Pisharady, PK, Duarte-Carvajalino, JM, Sotiropoulos, SN, Sapiro, G, and Lenglet, C. "Sparse bayesian inference of white matter fiber orientations from compressed multi-resolution diffusion MRI." Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). January 1, 2015. 117-124. Full Text

Campbell, K, Carpenter, KLH, Espinosa, S, Hashemi, J, Qiu, Q, Tepper, M, Calderbank, R, Sapiro, G, Egger, HL, Baker, JP, and Dawson, G. "Use of a Digital Modified Checklist for Autism in Toddlers - Revised with Follow-up to Improve Quality of Screening for Autism." The Journal of pediatrics 183 (April 2017): 133-139.e1. Full Text

Lezama, J, Mukherjee, D, McNabb, RP, Sapiro, G, Kuo, AN, and Farsiu, S. "Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes." Biomedical optics express 7.12 (December 2016): 4827-4846. Full Text

Elhamifar, E, Sapiro, G, and Sastry, SS. "Dissimilarity-Based Sparse Subset Selection." IEEE transactions on pattern analysis and machine intelligence 38.11 (November 2016): 2182-2197.

Aguerrebere, C, Delbracio, M, Bartesaghi, A, and Sapiro, G. "Fundamental Limits in Multi-Image Alignment." IEEE Transactions on Signal Processing 64.21 (November 1, 2016): 5707-5722. Full Text

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 2016): 2269-2283. Full Text

Qiu, Q, Thompson, A, Calderbank, R, and Sapiro, G. "Data Representation Using the Weyl Transform." IEEE Transactions on Signal Processing 64.7 (April 2016): 1844-1853. 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

Delbracio, M, and Sapiro, G. "Removing Camera Shake via Weighted Fourier Burst Accumulation." IEEE Transactions on Image Processing 24.11 (November 2015): 3293-3307. Full Text

Pages

Chen, J, Chang, Z, Qiu, Q, Li, X, Sapiro, G, Bronstein, A, and Pietikäinen, M. "RealSense = real heart rate: Illumination invariant heart rate estimation from videos." January 17, 2017. Full Text

Huang, J, Qiu, Q, Calderbank, R, and Sapiro, G. "Geometry-aware deep transform." February 17, 2016. Full Text

Chang, Z, Qiu, Q, and Sapiro, G. "Synthesis-based low-cost gaze analysis." January 1, 2016. Full Text

Kim, J, Duchin, Y, Sapiro, G, Vitek, J, and Harel, N. "Clinical deep brain stimulation region prediction using regression forests from high-field MRI." December 9, 2015. Full Text

Tepper, M, Newson, A, Sprechmann, P, and Sapiro, G. "Multi-temporal foreground detection in videos." December 9, 2015. Full Text

Hashemi, J, Qiu, Q, and Sapiro, G. "Cross-modality pose-invariant facial expression." December 9, 2015. Full Text

Draelos, M, Qiu, Q, Bronstein, A, and Sapiro, G. "Intel realsense = Real low cost gaze." December 9, 2015. Full Text

Pages

The Lives of Things. Consultant. https://www.youtube.com/watch?v=d6uJKKbMBZU (2015)

Abstract

The Nasher Museum has one of the most important collections of medieval art in an American university. These objects are mounted against the white walls of the Nasher Museum with short labels by way of identification. Yet how many of the visitors to the museum understand that these objects were once brightly painted, and once part of full-length figures that enriched the doorways and facades of medieval churches - that they were integrated into much larger decorative programs? The Lives of Things is a collaboration between Engineering and Art, Art History and Visual Studies. Computer scientists and engineers work with artists and art historians, using programming and graphical user interface design for artistic and historical contextualization with augmented reality and interactive capabilities. This eclectic blend of knowledges and capabilities brings new possibilities for interdisciplinary teamwork of broad impact and for horizontal knowledge transmission. Our goal is to use emerging technologies for developing a new model of the engaged museum that reaches out to involve the public of all ages in reconnecting works of art to their original context (e.g., chapels, church portals, or facades) through interactive and gaming displays. Our first installation is now part of the Nasher permanent collection. This is a collaboration with Dr. Tepper (engineering leader), Prof. Olson (art history leader) and Prof. Bruzelius.