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Thomas Serre
Thomas Serre
Professor, Brown University and ANR-3IA Artificial and Natural Intelligence Toulouse Institute
Verified email at brown.edu - Homepage
Title
Cited by
Cited by
Year
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
47782011
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
21712007
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
12752005
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
12082007
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
9982007
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
7032014
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
3922005
Reading the mind's eye: decoding category information during mental imagery
L Reddy, N Tsuchiya, T Serre
Neuroimage 50 (2), 818-825, 2010
3762010
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
3472010
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
3472007
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
3432003
A component-based framework for face detection and identification
B Heisele, T Serre, T Poggio
International Journal of Computer Vision 74, 167-181, 2007
3022007
Component-based face detection
B Heiselet, T Serre, M Pontil, T Poggio
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001
3022001
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
2952015
What and where: A Bayesian inference theory of attention
S Chikkerur, T Serre, C Tan, T Poggio
Vision research 50 (22), 2233-2247, 2010
2792010
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
2582018
Deep learning: the good, the bad, and the ugly
T Serre
Annual review of vision science 5 (1), 399-426, 2019
2452019
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
2372016
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
2262019
Learning what and where to attend
D Linsley, D Schiebler, S Eberhardt, T Serre
International Conference on Learning Representations, 2019
197*2019
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