| Computer vision analysis captures atypical attention in toddlers with autism K Campbell, KLH Carpenter, J Hashemi, S Espinosa, S Marsan, JS Borg, ... Autism 23 (3), 619-628, 2019 | 110 | 2019 |
| Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study HL Egger, G Dawson, J Hashemi, KLH Carpenter, S Espinosa, ... NPJ digital medicine 1 (1), 20, 2018 | 107 | 2018 |
| A computer vision approach for the assessment of autism-related behavioral markers J Hashemi, TV Spina, M Tepper, A Esler, V Morellas, N Papanikolopoulos, ... 2012 IEEE International Conference on Development and Learning and …, 2012 | 91 | 2012 |
| Computer vision tools for low‐cost and noninvasive measurement of autism‐related behaviors in infants J Hashemi, M Tepper, T Vallin Spina, A Esler, V Morellas, ... Autism research and treatment 2014 (1), 935686, 2014 | 81 | 2014 |
| Use of a digital modified checklist for autism in toddlers–revised with follow-up to improve quality of screening for autism K Campbell, KLH Carpenter, S Espinosa, J Hashemi, Q Qiu, M Tepper, ... The Journal of pediatrics 183, 133-139. e1, 2017 | 75 | 2017 |
| Face recognition on partially occluded images using compressed sensing AM Andrés, S Padovani, M Tepper, J Jacobo-Berlles Pattern Recognition Letters 36, 235-242, 2014 | 72 | 2014 |
| Compressed nonnegative matrix factorization is fast and accurate M Tepper, G Sapiro IEEE Transactions on Signal Processing 64 (9), 2269-2283, 2016 | 51 | 2016 |
| If you are happy and you know it... tweet A Asiaee T, M Tepper, A Banerjee, G Sapiro Proceedings of the 21st ACM international conference on Information and …, 2012 | 43 | 2012 |
| Manifold-tiling localized receptive fields are optimal in similarity-preserving neural networks A Sengupta, C Pehlevan, M Tepper, A Genkin, D Chklovskii Advances in neural information processing systems 31, 2018 | 41 | 2018 |
| Nonnegative matrix underapproximation for robust multiple model fitting M Tepper, G Sapiro Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 32 | 2017 |
| A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study J Hashemi, K Campbell, K Carpenter, A Harris, Q Qiu, M Tepper, ... Proceedings of the 5th EAI international conference on wireless mobile …, 2015 | 27 | 2015 |
| Automatically finding clusters in normalized cuts M Tepper, P Musé, A Almansa, M Mejail Pattern Recognition 44 (7), 1372-1386, 2011 | 22 | 2011 |
| Toward a geometrical understanding of self-supervised contrastive learning R Cosentino, A Sengupta, S Avestimehr, M Soltanolkotabi, A Ortega, ... arXiv preprint arXiv:2205.06926, 2022 | 18 | 2022 |
| A short-graph Fourier transform via personalized pagerank vectors M Tepper, G Sapiro 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 18 | 2016 |
| A biclustering framework for consensus problems M Tepper, G Sapiro SIAM Journal on Imaging Sciences 7 (4), 2488-2525, 2014 | 18 | 2014 |
| A decision step for shape context matching M Tepper, D Acevedo, N Goussies, J Jacobo, M Mejail 2009 16th IEEE International Conference on Image Processing (ICIP), 409-412, 2009 | 10 | 2009 |
| Automatic emotion and attention analysis of young children at home: A Research Kit autism feasibility study. npj Digital Medicine, 1 (1), Article 20 HL Egger, G Dawson, J Hashemi, KLH Carpenter, S Espinosa, ... Recuperado de: http://www. nature. com/articles/s41746-018-0024-6, 2018 | 9 | 2018 |
| Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling M Tepper, AM Sengupta, D Chklovskii Journal of Machine Learning Research 19 (82), 1-30, 2018 | 9 | 2018 |
| Fast L1-NMF for multiple parametric model estimation M Tepper, G Sapiro arXiv preprint arXiv:1610.05712, 2016 | 9 | 2016 |
| Decoupled coarse-to-fine matching and nonlinear regularization for efficient motion estimation M Tepper, G Sapiro 2012 19th IEEE International Conference on Image Processing, 1517-1520, 2012 | 9 | 2012 |
Guillermo SapiroJames B. Duke Professor, Duke University; Distinguished Engineer, Health AI Lead, Apple, Inc.在 duke.edu 的电子邮件经过验证
