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Publications
Google scholar citations. |
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This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author’s copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
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In prep / in sub |
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S. Chikkerur, T. Serre, C. Tan and T. Poggio. What and where: A Bayesian inference theory of attention (in sub). Email me for a draft. |
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| L. Reddy, N. Tsuchyia & T. Serre. Reading the mind’s eye: Decoding object Information during mental Imagery from fMRI patterns (in sub). Email me for a draft. |
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T. Serre*, H. Jhuang*, E. Garrote, T. Poggio & A. Steele. Automatic recognition of rodent behavior: A tool for systematic phenotypic analysis (in sub). See MIT-CSAIL-TR #2009-047 below. |
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T. Poggio & T. Serre. Models of visual cortex. Scholarpedia (in prep) |
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| 2009 |
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T. Serre & T. Poggio. A neuromorphic approach to computer vision. Communications of the ACM (to appear) |
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T. Serre & M. Giese. Elements for a neural theory of the processing of dynamic faces (to appear) |
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L. Reddy, N. Tsuchyia & T. Serre. Reading the mind’s eye: Decoding object Information during mental Imagery from fMRI patterns. CBCL paper #284/MIT-CSAIL-TR #2009-053, Massachusetts
Institute of Technology, Cambridge, MA, October 2009 |
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T. Serre*, H. Jhuang*, E. Garrote, T. Poggio & A. Steele. Automatic recognition of rodent behavior: A tool for systematic phenotypic analysis. CBCL paper #283/MIT-CSAIL-TR #2009-052, Massachusetts
Institute of Technology, Cambridge, MA, October 2009 |
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S. Chikkerur, T. Serre and T. Poggio. A Bayesian inference theory of attention: Neuroscience and algorithms. CBCL paper #280/MIT-CSAIL-TR #2009-047, Massachusetts
Institute of Technology, Cambridge, MA, October 2009 |
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S. Chikkerur, T. Serre and T. Poggio. Attentive processing improves object recognition. CBCL #279/MIT-CSAIL #TR-2009-046. Massachusetts
Institute of Technology, Cambridge, MA, October 2009 |
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S. Chikkerur, T. Serre, C. Tan and T. Poggio. An integrated model of visual attention using shape-based features. CBCL paper #278/MIT-CSAIL-TR #2009-029, Massachusetts
Institute of Technology, Cambridge, MA, June 2009 |
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T.
Serre, A. Oliva and T. Poggio. A feedforward
architecture accounts for rapid categorization.
Proceedings of the National Academy of Science,
104(15), pp. 6424-6429, April 2007 open
access |
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T. Serre, L. Wolf, S. Bileschi, M. Riesenhuber and T. Poggio. Object recognition with cortex-like mechanisms. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 29 (3), pp. 411-426 , 2007 |
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T.
Serre, G. Kreiman, M. Kouh, C. Cadieu, U. Knoblich
and T. Poggio. A quantitative theory of immediate
visual recognition. In: Progress in Brain
Research, Computational
Neuroscience: Theoretical Insights into Brain
Function, 165, pp. 33-56, 2007
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H. Jhuang,
T. Serre, L. Wolf and T. Poggio. A biologically
inspired system for action recognition. In: Proceedings
of the Eleventh IEEE International Conference
on Computer Vision (ICCV), 2007 |
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B.
Heisele, T. Serre and T. Poggio. A component-based
framework for face detection and identification.
In: International Journal of Computer Vision,
74(2), pp. 167-181, Aug. 2007 |
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T.
Masquelier, T. Serre, S. Thorpe and T. Poggio.
Learning complex cell invariance from natural
videos: a plausibility proof, CBCL Paper #269/MIT-CSAIL-TR
#2007-060, Massachusetts
Institute of Technology, Cambridge, MA, Dec 2007 |
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T. Serre.
Learning a dictionary of shape-components in visual
cortex: Comparison with neurons, humans and machines,
PhD Thesis, CBCL Paper #260/MIT-CSAIL-TR #2006-028,
Massachusetts Institute of Technology, Cambridge,
MA, April, 2006 |
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2005 |
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T.
Serre, M. Kouh, C. Cadieu, U. Knoblich, G. Kreiman
and T. Poggio. A theory of object recognition:
computations and circuits in the feedforward path
of the ventral stream in primate visual cortex,
CBCL Paper #259/AI Memo #2005-036, Massachusetts
Institute of Technology, Cambridge, MA, December,
2005 |
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B. Heisele, T. Serre, S. Prentice and T. Poggio. Hierarchical classification and feature reduction for fast face detection with support vector machines. In: Handbook of Pattern Recognition and Computer Vision, third edition, 2005 (reprinted from Heisele et al, 2003) |
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Y.
Ivanov, T. Serre, and J. Bouvrie. Error weighted
classifier combination for multi-modal human identification.
CBCL Paper #258/AI Memo #2005-035, Massachusetts
Institute of Technology, Cambridge, MA, December,
2005 |
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R.
Sigala, T. Serre, T. Poggio and M. Giese. Learning
features of intermediate complexity for the recognition
of biological motion. In: ICANN 2005, Warsow,
Poland, pp 241-246, September 2005 |
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T.
Serre, L. Wolf and T. Poggio. Object recognition
with features inspired by visual cortex. In:
Proceedings of 2005 IEEE Computer Society Conference
on Computer Vision and Pattern Recognition (CVPR
2005), IEEE Computer Society Press, San Diego,
2005
/ See also extended paper: [CBCL
Paper #243/AI Memo #2004-026] |
rcecode |
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Serre,
T., L. Wolf and T. Poggio. A new biologically motivated
framework for robust object recognition, CBCL Paper
#243/AI Memo #2004-026, Massachusetts Institute
of Technology, Cambridge, MA, November, 2004 |
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Y.
Ivanov, B. Heisele and T. Serre. Using component
features for face recognition. In: International
Conference on Automatic Face and Gesture Recognition,
Seoul, Korea, May 2004 |
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T.
Serre and M. Riesenhuber. Realistic modeling of
simple and complex cell tuning in the HMAX model,
and implications for invariant object recognition
in cortex, CBCL Paper #239/AI Memo #2004-017,
Massachusetts Institute of Technology, Cambridge,
MA, July, 2004 |
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B.
Heisele, T. Serre, S. Prentice and T. Poggio.
Hierarchical classification and feature reduction
for fast face detection with support vector machines.
In: Pattern Recognition, 36, 2007-2017, 2003 |
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B.
Heisele, T. Serre, M. Pontil, T. Vetter and T.
Poggio. Categorization by learning and combining
object parts. In: Advances in Neural Information
Processing Systems (NIPS'01), Vancouver, Canada,
2002 |
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T. Serre,
J. Louie, M. Riesenhuber and T. Poggio. On the
role of object-specific features for real-world
object recognition in biological vision. In: Workshop
on Biologically Motivated Computer Vision (BMCV
2002), Tübingen, Germany, November 2002
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B.
Heisele, T. Serre, M. Pontil and T. Poggio.
Component-based face detection. In: Proceedings
of IEEE Computer Society Conference on Computer
Vision and Pattern Recognition (CVPR 2001),
IEEE Computer Society Press, Kauai, Hawaii,
Vol. 1, pp 657-662, Dec. 2001 |
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B.
Heisele, T. Serre, S. Mukherjee and T. Poggio.
Feature reduction and hierarchy of classifiers
for fast object detection in video images. In:
Proceedings of IEEE Computer Society Conference
on Computer Vision and Pattern Recognition (CVPR
2001), IEEE Computer Society Press, Kauai, Hawaii,
Vol. 2, pp 18-24, Dec. 2001 |
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| T.
Serre, B. Heisele, S. Mukherjee and T. Poggio.
Feature selection for face detection, CBCL Paper
#192/AI Memo #1697, Massachusetts Institute of
Technology, Cambridge, MA, September 2000 |
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Abstracts |
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2009 |
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| Y. Zhang, E.M. Meyers, N.P. Bichot, S. Chikkerur, T. Serre, R. Desimone and T. Poggio. Read-out of inferior temporal cortex population activity: Spatial attention eliminates clutter. SFN, Oct 2009 |
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| T. Serre, H. Jhuang, E. Garrote, T. Poggio and A. Steele. A computer vision system for the automated analysis of rodent behavior. SFN, Oct 2009 |
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| C. Tan, H. Jhuang, J. Singer, T. Serre, D. Sheinberg and T. Poggio. Computational mechanisms for the recognition of time sequences of images in the visual cortex. SFN, Oct 2009 |
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| P. Wilf, S. Chikkerur, S.A. Little, S.L. Wing and T. Serre. Leaf identification automated using a computational model of the primate vision system: preliminary results. Botanical Society of America Annual Meeting, Snowbird, Utah, abstract 584, abstracts volume p. 165, July 2009. |
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| T. Serre, L. Reddy, N. Tsuchyia, M. Fabre-Thorpe and C. Koch. Reading the mind’s eye: Decoding object Information during mental Imagery from fMRI patterns. VSS, May 2009 |
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| C. Tan, T. Serre, S. Chikkerur, T. Poggio. Feature-based and contextual guidance mechanisms in complex natural visual search. VSS, May 2009 |
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| B. Wyble, M. Potter, T. Serre and M. Giese. Identification of point light walkers exhibits an attentional blink. VSS, May 2009 |
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T. Serre, L. Reddy, N. Tsuchyia, M. Fabre-Thorpe and C. Koch. Reading the mind’s eye: Decoding object Information during mental Imagery from fMRI patterns. Cosyne, Feb. 2009 |
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2008 |
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| L. Reddy, T. Serre, N. Tsuchyia, M. Fabre-Thorpe and C. Koch. Reading the mind’s eye: Decoding object information during mental Imagery from fMRI patterns. SFN, Nov. 2008 |
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E. Meyers, H. Embark, W. Freiwald, T. Serre, G. Kreiman and T. Poggio. Neural representation of cluttered scenes in macaque ventral visual cortex. SFN, Nov. 2008 |
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S. Chikkerur, T. Serre, C. Tan and T. Poggio. The role of top-down feature-based and contextual guidance mechanisms in complex natural visual search. SFN, Nov. 2008 |
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C.
Tan, T. Serre and T. Poggio. Implicit coding
of location, scale and configural information
in feedforward hierarchical models of the visual
cortex. VSS, May 2008
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2007 |
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T. Serre and M. Giese.
Rapid Serial Action Presentation: New paradigm for the study of movement recognition. VSS, May 2007
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| G. Kreiman,
T. Serre and T. Poggio. On the limits of feed-forward
processing in visual object recognition. VSS,
May 2007 |
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| T. Masquelier, T. Serre, S. Thorpe and T. Poggio. Learning simple and complex cells-like receptive fields from natural images: a plausibility proof. VSS, May 2007 |
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G. Kreiman, T. Serre and T. Poggio. On the limits of feed-forward processing in visual object recognition. Cosyne, February 2007 |
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2006 |
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T. Serre, A. Oliva and T. Poggio. Feedforward theories of visual cortex predict human performance in rapid categorization, VSS, May 2006
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[abstract] [poster] |
T.
Serre, M. Kouh, C. Cadieu, U. Knoblich, G. Kreiman,
T. Poggio. A
theory of object recognition: computations and
circuits in the feedforward path of the ventral
stream in primate visual cortex, Cosyne, Salt
Lake City, March 2006 |
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2005 |
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R. Sigala, T. Serre, T. Poggio, M. Giese and A.
Casile. Mid-level motion features for the recognition
of biological movements, ECVP, 2005 |
[abstract] |
T. Serre
and T. Poggio. Standard Model v2.0: How visual cortex
might learn a universal dictionary of shape-components,
VSS, May 2005 |
[abstract] [poster] |
D. Walther,
T. Serre, T. Poggio and C. Koch. Modeling feature
sharing between object detection and top-down attention,
VSS, May 2005 |
[abstract] [poster] |
R.
Sigala, T. Serre, T. Poggio, and M. Giese, Learning
mid-level motion features for the recognition of
body movements, VSS, May 2005 |
[abstract] [poster] |
T. Serre
and T. Poggio. Learning a dictionary of shape-components
in visual cortex. Cosyne, Salt Lake City, March
2005 |
[abstract] [poster] |
2004 |
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T. Serre,
T. Poggio and P. Sinha. Face-detection by humans
and machines, Vision Sciences Society, May 2004 |
[abstract] [poster] |
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