Guillermo Sapiro

Guillermo Sapiro
  • 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
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. 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.

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

Selected Grants

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

Scalable Quantitative Video Analysis for Online Phenotyping, Early Screening, and Symptom Monitoring for Autism Spectrum Disorders awarded by Simons Foundation Autism Research Initiative (Principal Investigator). 2017 to 2018

Multimodal Subspace Learning and Modeling of Complex Systems awarded by Army Research Laboratory (Principal Investigator). 2016 to 2018

Path Toward MRI with Direct Sensitivity to Neuro-Electro-Magnetic Oscillations awarded by National Institutes of Health (Co Investigator). 2014 to 2018

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

AF: Small: Learning to Parsimoniously Model and Compute with Big Data awarded by National Science Foundation (Principal Investigator). 2013 to 2017

Visitors to the Information Initiative at Duke awarded by Office of Naval Research (Principal Investigator). 2015 to 2016


Simhal, AK, Gong, B, Trimmer, JS, Weinberg, RJ, Smith, SJ, Sapiro, G, and Micheva, KD. "A Computational Synaptic Antibody Characterization Tool for Array Tomography." Frontiers in Neuroanatomy 12 (January 2018): 51-null. Full Text

Lezama, J, Qiu, Q, and Sapiro, G. "Not afraid of the dark: NIR-VIS face recognition via cross-spectral hallucination and low-rank embedding." Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017 2017-January (November 6, 2017): 6807-6816. Full Text

Ye, Q, Zhang, T, Ke, W, Qiu, Q, Chen, J, Sapiro, G, and Zhang, B. "Self-learning scene-specific pedestrian detectors using a progressive latent model." Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017 2017-January (November 6, 2017): 2057-2066. Full Text

Sokolic, J, Giryes, R, Sapiro, G, and Rodrigues, MRD. "Robust Large Margin Deep Neural Networks." Ieee Transactions on Signal Processing 65.16 (August 15, 2017): 4265-4280. Full Text

Simhal, AK, Aguerrebere, C, Collman, F, Vogelstein, JT, Micheva, KD, Weinberg, RJ, Smith, SJ, and Sapiro, G. "Probabilistic fluorescence-based synapse detection." Plos Computational Biology 13.4 (April 17, 2017): e1005493-null. 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

Gunalan, K, Chaturvedi, A, Howell, B, Duchin, Y, Lempka, SF, Patriat, R, Sapiro, G, Harel, N, and McIntyre, CC. "Creating and parameterizing patient-specific deep brain stimulation pathway-activation models using the hyperdirect pathway as an example." PloS one 12.4 (January 2017): e0176132-. 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. Full Text

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


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

Qiu, Q, Chang, Z, Draelos, M, Chen, J, Bronstein, A, and Sapiro, G. "Low-cost gaze and pulse analysis using realsense." December 22, 2015. 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

Huang, J, Qiu, Q, Calderbank, R, and Sapiro, G. "Geometry-aware deep transform." February 17, 2015. Full Text