Thomas Serre

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Soavtorji

TOMASO POGGIOMcDermott Professor in Brain Sciences, MITPreverjeni e-poštni naslov na ai.mit.edu
Drew LinsleyBrown UniversityPreverjeni e-poštni naslov na brown.edu
Huei-han JhuangPerceiving Systems, Max Planck Institute for Intelligent SystemsPreverjeni e-poštni naslov na tuebingen.mpg.de
Hilde KuehneTuebingen AI Center, University of Tuebingen, MIT-IBM Watson LabPreverjeni e-poštni naslov na uni-tuebingen.de
Estibaliz GarroteResearcher, TecnaliaPreverjeni e-poštni naslov na tecnalia.com
Maximilian RiesenhuberProfessor of Neuroscience, Georgetown UniversityPreverjeni e-poštni naslov na georgetown.edu
Lior WolfThe School of Computer Science at Tel Aviv UniversityPreverjeni e-poštni naslov na cs.tau.ac.il
Junkyung KimDeepMindPreverjeni e-poštni naslov na google.com
Bernd HeiselePreverjeni e-poštni naslov na mty.ai
Sharat ChikkerurGooglePreverjeni e-poštni naslov na alum.mit.edu
Stanley Bileschi--Preverjeni e-poštni naslov na alum.mit.edu
Alekh Karkada AshokBrown UniversityPreverjeni e-poštni naslov na brown.edu
Gabriel KreimanProfessor, Harvard Medical School and Children's HospitalPreverjeni e-poštni naslov na tch.harvard.edu
Aude OlivaSenior Research Scientist, CSAIL, MIT Director MIT-IBM Lab, MIT College Director IndustryPreverjeni e-poštni naslov na mit.edu
Cheston TanInstitute for Infocomm Research; Centre for Frontier AI ResearchPreverjeni e-poštni naslov na i2r.a-star.edu.sg
Sven EberhardtBrown UniversityPreverjeni e-poštni naslov na brown.edu
David Alex MélyOpenAI - Formerly @ Google X, Vicarious, Brown University (PhD)Preverjeni e-poštni naslov na alumni.brown.edu
Matthew RicciZuckerman Postdoctoral FellowPreverjeni e-poštni naslov na mail.huji.ac.il
Ali Bilgin Arslan, PhDKAYAKPreverjeni e-poštni naslov na kayak.com
Lakshmi Narasimhan GovindarajanICoN Postdoctoral Fellow, MITPreverjeni e-poštni naslov na mit.edu

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Thomas Serre

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

Preverjeni e-poštni naslov na brown.edu - Domača stran

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


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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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