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

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

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

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

Pages

Asiedu, MN, Simhal, A, Chaudhary, U, Mueller, JL, Lam, CT, Schmitt, JW, Venegas, G, Sapiro, G, and Ramanujam, N. "Development of algorithms for automated detection of cervical pre-cancers with a low-cost, point-of-care, Pocket Colposcope." Ieee Transactions on Biomedical Engineering (2018): 1-1. Full Text

Chiew, KS, Hashemi, J, Gans, LK, Lerebours, L, Clement, NJ, Vu, M-AT, Sapiro, G, Heller, NE, and Adcock, RA. "Motivational valence alters memory formation without altering exploration of a real-life spatial environment." Plos One 13.3 (January 2018): e0193506-null. Full Text

Bertrán, MA, Martínez, NL, Wang, Y, Dunson, D, Sapiro, G, and Ringach, D. "Active learning of cortical connectivity from two-photon imaging data." Plos One 13.5 (January 2018): e0196527-null. Full Text

Duchin, Y, Shamir, RR, Patriat, R, Kim, J, Vitek, JL, Sapiro, G, and Harel, N. "Patient-specific anatomical model for deep brain stimulation based on 7 Tesla MRI." Plos One 13.8 (January 2018): e0201469-null. Full Text

Hashemi, J, Dawson, G, Carpenter, KLH, Campbell, K, Qiu, Q, Espinosa, S, Marsan, S, Baker, JP, Egger, HL, and Sapiro, G. "Computer Vision Analysis for Quantification of Autism Risk Behaviors." Ieee Transactions on Affective Computing (2018): 1-1. Full Text

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

Qiu, Q, Lezama, J, Bronstein, A, and Sapiro, G. "ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks." (2018): 442-459. 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

Lezama, J, Qiu, Q, and Sapiro, G. "Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding." 2017 Ieee Conference on Computer Vision and Pattern Recognition (Cvpr) (July 2017). 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." 2017 Ieee Conference on Computer Vision and Pattern Recognition (Cvpr) (July 2017). Full Text

Pages

Fiori, M, Muse, P, Tepper, M, and Sapiro, G. "Tell me where you are and I tell you where you are going: Estimation of dynamic mobility graphs." 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). July 10, 2016 - July 13, 2016.: IEEE, July 2016. Full Text

Tepper, M, and Sapiro, G. "A short-graph fourier transform via personalized pagerank vectors." 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). March 20, 2016 - March 25, 2016.: IEEE, March 2016. Full Text

Chang, Z, Qiu, Q, and Sapiro, G. "Synthesis-Based Low-Cost Gaze Analysis.": Springer International Publishing, 2016. Full Text

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

Huang, J, Qiu, Q, Calderbank, R, and Sapiro, G. "Geometry-Aware Deep Transform." 2015 IEEE International Conference on Computer Vision (ICCV). December 7, 2015 - December 13, 2015.: IEEE, December 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." 2015 IEEE International Conference on Image Processing (ICIP). September 27, 2015 - September 30, 2015.: IEEE, September 2015. Full Text

Hashemi, J, Qiu, Q, and Sapiro, G. "Cross-modality pose-invariant facial expression." 2015 IEEE International Conference on Image Processing (ICIP). September 27, 2015 - September 30, 2015.: IEEE, September 2015. Full Text

Draelos, M, Qiu, Q, Bronstein, A, and Sapiro, G. "Intel realsense = Real low cost gaze." 2015 IEEE International Conference on Image Processing (ICIP). September 27, 2015 - September 30, 2015.: IEEE, September 2015. Full Text

Delbracio, M, and Sapiro, G. "Burst deblurring: Removing camera shake through fourier burst accumulation." 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). June 7, 2015 - June 12, 2015.: IEEE, June 2015. Full Text

Huang, J, Qiu, Q, Calderbank, R, Rodrigues, M, and Sapiro, G. "Alignment with intra-class structure can improve classification." ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). April 19, 2015 - April 24, 2015.: IEEE, April 2015. Full Text

Pages