Mariano Tepper
Mariano Tepper
Intel Labs
Adresse e-mail validée de - Page d'accueil
Citée par
Citée par
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
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
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
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
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
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
Compressed nonnegative matrix factorization is fast and accurate
M Tepper, G Sapiro
IEEE Transactions on Signal Processing 64 (9), 2269-2283, 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
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
Nonnegative matrix underapproximation for robust multiple model fitting
M Tepper, G Sapiro
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 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
Automatically finding clusters in normalized cuts
M Tepper, P Musé, A Almansa, M Mejail
Pattern Recognition 44 (7), 1372-1386, 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
A short-graph Fourier transform via personalized pagerank vectors
M Tepper, G Sapiro
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
A biclustering framework for consensus problems
M Tepper, G Sapiro
SIAM Journal on Imaging Sciences 7 (4), 2488-2525, 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
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
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
Fast L1-NMF for multiple parametric model estimation
M Tepper, G Sapiro
arXiv preprint arXiv:1610.05712, 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
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20