Thomas Serre

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	Toate	Din 2020
Referințe bibliografice	20132	8878
h-index	52	40
i10-index	92	72

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TOMASO POGGIOMcDermott Professor in Brain Sciences, MITAdresă de e-mail confirmată pe ai.mit.edu
Drew LinsleyBrown UniversityAdresă de e-mail confirmată pe brown.edu
Huei-han JhuangPerceiving Systems, Max Planck Institute for Intelligent SystemsAdresă de e-mail confirmată pe tuebingen.mpg.de
Hilde KuehneTuebingen AI Center, University of Tuebingen, MIT-IBM Watson LabAdresă de e-mail confirmată pe uni-tuebingen.de
Estibaliz GarroteResearcher, TecnaliaAdresă de e-mail confirmată pe tecnalia.com
Maximilian RiesenhuberProfessor of Neuroscience, Georgetown UniversityAdresă de e-mail confirmată pe georgetown.edu
Lior WolfThe School of Computer Science at Tel Aviv UniversityAdresă de e-mail confirmată pe cs.tau.ac.il
Junkyung KimDeepMindAdresă de e-mail confirmată pe google.com
Bernd HeiseleAdresă de e-mail confirmată pe mty.ai
Sharat ChikkerurGoogleAdresă de e-mail confirmată pe alum.mit.edu
Stanley Bileschi--Adresă de e-mail confirmată pe alum.mit.edu
Alekh Karkada AshokBrown UniversityAdresă de e-mail confirmată pe brown.edu
Gabriel KreimanProfessor, Harvard Medical School and Children's HospitalAdresă de e-mail confirmată pe tch.harvard.edu
Aude OlivaSenior Research Scientist, CSAIL, MIT Director MIT-IBM Lab, MIT College Director IndustryAdresă de e-mail confirmată pe mit.edu
Cheston TanInstitute for Infocomm Research; Centre for Frontier AI ResearchAdresă de e-mail confirmată pe i2r.a-star.edu.sg
Sven EberhardtBrown UniversityAdresă de e-mail confirmată pe brown.edu
David Alex MélyOpenAI - Formerly @ Google X, Vicarious, Brown University (PhD)Adresă de e-mail confirmată pe alumni.brown.edu
Matthew RicciZuckerman Postdoctoral FellowAdresă de e-mail confirmată pe mail.huji.ac.il
Ali Bilgin Arslan, PhDKAYAKAdresă de e-mail confirmată pe kayak.com
Lakshmi Narasimhan GovindarajanICoN Postdoctoral Fellow, MITAdresă de e-mail confirmată pe mit.edu

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Thomas Serre

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

Adresă de e-mail confirmată pe brown.edu - Pagina de pornire

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


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	4913	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	2179	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	1279	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	1216	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	997	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	729	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	398	2005
Reading the mind's eye: decoding category information during mental imagery L Reddy, N Tsuchiya, T Serre Neuroimage 50 (2), 818-825, 2010	380	2010
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	357	2010
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	347	2007
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	340	2003
A component-based framework for face detection and identification B Heisele, T Serre, T Poggio International Journal of Computer Vision 74, 167-181, 2007	300	2007
Component-based face detection B Heiselet, T Serre, M Pontil, T Poggio Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	297	2001
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	294	2015
What and where: A Bayesian inference theory of attention S Chikkerur, T Serre, C Tan, T Poggio Vision research 50 (22), 2233-2247, 2010	280	2010
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	268	2018
Deep learning: the good, the bad, and the ugly T Serre Annual review of vision science 5 (1), 399-426, 2019	257	2019
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	243	2016
Early life stress leads to sex differences in development of depressive-like outcomes in a mouse model HL Goodwill, G Manzano-Nieves, M Gallo, HI Lee, E Oyerinde, T Serre, ... Neuropsychopharmacology 44 (4), 711-720, 2019	236	2019
Learning what and where to attend D Linsley, D Schiebler, S Eberhardt, T Serre International Conference on Learning Representations, 2019	204*	2019

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