Thomas Serre

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TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Drew LinsleyBrown UniversityVerified email at brown.edu
Huei-han JhuangPerceiving Systems, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Hilde KuehneGoethe University Frankfurt , MIT-IBM Watson LabVerified email at em.uni-frankfurt.de
Estibaliz GarroteResearcher, TecnaliaVerified email at tecnalia.com
Maximilian RiesenhuberProfessor of Neuroscience, Georgetown UniversityVerified email at georgetown.edu
Lior WolfThe School of Computer Science at Tel Aviv UniversityVerified email at cs.tau.ac.il
Bernd HeiseleVerified email at mty.ai
Junkyung KimDeepMindVerified email at google.com
Stanley Bileschi--Verified email at alum.mit.edu
Sharat ChikkerurGoogleVerified email at alum.mit.edu
Gabriel KreimanProfessor, Harvard Medical School and Children's HospitalVerified email at tch.harvard.edu
Cheston TanInstitute for Infocomm ResearchVerified email at i2r.a-star.edu.sg
Sven EberhardtBrown UniversityVerified email at brown.edu
David Alex MélyOpenAI - Formerly @ Google X, Vicarious, Brown University (PhD)Verified email at alumni.brown.edu
Ali Bilgin Arslan, PhDKAYAKVerified email at kayak.com
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it
Thomas FelBrown University, ANITI - Artificial and Natural Intelligence Toulouse InstituteVerified email at brown.edu
Aude OlivaSenior Research Scientist, CSAIL, MIT Director MIT-IBM Lab, MIT College Director IndustryVerified email at mit.edu
Rémi CadèneSorbonne UniversityVerified email at lip6.fr

Thomas Serre

Professor, Brown University and ANR-3IA Artificial and Natural Intelligence Toulouse Institute

Verified email at brown.edu - Homepage

computational neuroscience computer vision computational behavioral science deep learning recurrent neural networks


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HMDB: A Large Video Database for Human Motion Recognition H Kuehne, H Jhuang, E Garrote, T Poggio, T Serre International Conference on Computer Vision, 2011	3589	2011
Robust object recognition with cortex-like mechanisms T Serre, L Wolf, S Bileschi, M Riesenhuber, T Poggio IEEE transactions on pattern analysis and machine intelligence 29 (3), 411-426, 2007	2067	2007
Object recognition with features inspired by visual cortex T Serre, L Wolf, T Poggio 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005	1235	2005
A feedforward architecture accounts for rapid categorization T Serre, A Oliva, T Poggio Proceedings of the national academy of sciences 104 (15), 6424-6429, 2007	1121	2007
A biologically inspired system for action recognition H Jhuang, T Serre, L Wolf, T Poggio IEEE 11th International Conference on Computer Vision (ICCV), 1-8, 2007	961	2007
The language of actions: Recovering the syntax and semantics of goal-directed human activities H Kuehne, A Arslan, T Serre Proceedings of the IEEE conference on computer vision and pattern …, 2014	449	2014
A theory of object recognition: computations and circuits in the feedforward path of the ventral stream in primate visual cortex T Serre, G Kreiman, M Kouh, C Cadieu, U Knoblich, T Poggio MASSACHUSETTS INST OF TECH CAMBRIDGE MA CENTER FOR, 2005	380	2005
Hierarchical classification and feature reduction for fast face detection with support vector machines B Heisele, T Serre, S Prentice, T Poggio Pattern recognition 36 (9), 2007-2017, 2003	332	2003
A quantitative theory of immediate visual recognition T Serre, G Kreiman, M Kouh, C Cadieu, U Knoblich, T Poggio Progress in brain research 165, 33-56, 2007	319	2007
Reading the mind's eye: decoding category information during mental imagery L Reddy, N Tsuchiya, T Serre Neuroimage 50 (2), 818-825, 2010	312	2010
Component-based face detection B Heiselet, T Serre, M Pontil, T Poggio Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	301	2001
Automated home-cage behavioural phenotyping of mice H Jhuang, E Garrote, X Yu, V Khilnani, T Poggio, AD Steele, T Serre Nature communications 1 (1), 68, 2010	294	2010
A component-based framework for face detection and identification B Heisele, T Serre, T Poggio International Journal of Computer Vision 74, 167-181, 2007	292	2007
What and where: A Bayesian inference theory of attention S Chikkerur, T Serre, C Tan, T Poggio Vision research 50 (22), 2233-2247, 2010	262	2010
Reduced expression of MYC increases longevity and enhances healthspan JW Hofmann, X Zhao, M De Cecco, AL Peterson, L Pagliaroli, ... Cell 160 (3), 477-488, 2015	244	2015
Object decoding with attention in inferior temporal cortex Y Zhang, EM Meyers, NP Bichot, T Serre, TA Poggio, R Desimone Proceedings of the National Academy of Sciences 108 (21), 8850-8855, 2011	186	2011
Categorization by learning and combining object parts B Heisele, T Serre, M Pontil, T Vetter, T Poggio Advances in neural information processing systems 14, 2001	186	2001
TDP-43 gains function due to perturbed autoregulation in a Tardbp knock-in mouse model of ALS-FTD MA White, E Kim, A Duffy, R Adalbert, BU Phillips, OM Peters, ... Nature neuroscience 21 (4), 552-563, 2018	183	2018
An end-to-end generative framework for video segmentation and recognition H Kuehne, J Gall, T Serre 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-8, 2016	173	2016
Deep learning: the good, the bad, and the ugly T Serre Annual review of vision science 5, 399-426, 2019	156	2019

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