Mariano Tepper

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Guillermo SapiroJames B. Duke Professor, Duke University; Distinguished Engineer, Health AI Lead, Apple, Inc.Verified email at duke.edu
Jordan HashemiTarget AIVerified email at target.com
Geraldine DawsonWilliam Cleland Distinguished Professor and Founding Director, Duke Center for AutismVerified email at duke.edu
Qiang QiuPurdue UniversityVerified email at purdue.edu
Pablo MuséProfessor of Signal and Image Processing, Universidad de la RepublicaVerified email at fing.edu.uy
Vassilios MorellasDepartment of Electrical and Computer Engineering, University of MinnesotaVerified email at umn.edu
Thiago Vallin SpinaMicrosoft ResearchVerified email at microsoft.com
Nikolaos PapanikolopoulosProfessor of Computer Science, University of MinnesotaVerified email at cs.umn.edu
Amy EslerUniversity of MinnesotaVerified email at umn.edu
Andres AlmansaResearch Director with CNRS at MAP5 Université de ParisVerified email at parisdescartes.fr
R. CalderbankBell Labs, AT&T Labs, Princeton University, Duke UniversityVerified email at duke.edu
Anirvan M. SenguptaProfessor of Physics and Astronomy, Rutgers UniversityVerified email at physics.rutgers.edu
Dmitri "Mitya" B. ChklovskiiFlatiron Institute, Simons Foundation and NYUVerified email at flatironinstitute.org
Samuel MarsanGraduate Student, Duke UniversityVerified email at duke.edu
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Zhuoqing ChangPeloton InteractiveVerified email at onepeloton.com
Amir AsiaeeVanderbilt University Medical CenterVerified email at vumc.org
Alexander GenkinNeuroscience Institute, NYU Langone Medical CenterVerified email at nyumc.org
Cengiz PehlevanHarvard UniversityVerified email at seas.harvard.edu
Daniel AcevedoUniversidad de Buenos AiresVerified email at dc.uba.ar

Mariano Tepper

Intel Labs

Verified email at intel.com - Homepage

Image processing computer vision pattern recognition and machine learning


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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	116	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	109	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	93	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	78	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	75	2014
Compressed nonnegative matrix factorization is fast and accurate M Tepper, G Sapiro IEEE Transactions on Signal Processing 64 (9), 2269-2283, 2016	52	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	44	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	29	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	19	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
Similarity search in the blink of an eye with compressed indices C Aguerrebere, I Bhati, M Hildebrand, M Tepper, T Willke arXiv preprint arXiv:2304.04759, 2023	12	2023
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

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