2007:

Jhuang H., 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 (in press).

Heisele, B., T. Serre and T. Poggio. A Component-based Framework for Face Detection and Identification, International Journal of Computer Vision, to appear 2007.

Serre, T., A. Oliva and T. Poggio. A Feedforward Architecture Accounts for Rapid Categorization, Proceedings of the National Academy of Sciences (PNAS), Vol. 104, No. 15, 6424-6429, 2007.

Serre, T., L. Wolf, S. Bileschi, M. Riesenhuber and T. Poggio. Object Recognition with Cortex-like Mechanisms, IEEE Transactions on Pattern Analysis and Machine Intelligence, 29, 3, 411-426, 2007.

2006:

Bileschi, Stanley (Ph.D. Thesis, EECS, MIT, May 2006): StreetScenes: Towards Scene Understanding in Still Images.

Bileschi, S. and L. Wolf. A Unified System for Object Detection, Texture Recognition and Context Analysis Based on the Standard Model Feature Set. In: British Machine Vision Conference (BMVC), 2006.

Chikkerur, S. and L. Wolf. Empirical Comparison between Hierarchical Fragments Based and Standard Model Based Object Recognition Systems, CBCL Paper #MMVI-0I, Massachusetts Institute of Technology, Cambridge, MA, March, 2006.

Wolf, L. and S. Bileschi. A Critical View of Context. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006.

Wolf, L., S. Bileschi and E. Meyers. Perception Strategies in Hierarchical Vision Systems. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006.

Yokono, J.J. and T. Poggio. A Multiview Face Identification Model With No Geometric Constraints, Sony Intelligence Dynamics Laboratories, Inc. March, 2006.

2005:

Hung, C., G. Kreiman, T. Poggio and J. DiCarlo. Ultra-fast Object Recognition from Few Spikes, CBCL Paper #253, Massachusetts Institute of Technology, Cambridge, MA, July 2005.

Ivanov, Y., 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.

Martin, Ian S. (S.M. Thesis, EECS, MIT, May 2005): Robust Learning and Segmentation for Scene Understanding.

Serre, T., 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, October, 2005.

Serre, T., 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), IEEE Computer Society Press, San Diego, June 2005.

Skelley, James P. (S.M. Thesis, EECS, MIT, August 2005): Experiments in Expression Recognition.

Wolf, L. and S. Bileschi. Combining Variable Selection with Dimensionality Reduction, CBCL Paper #247/AI Memo #2005-009, Massachusetts Institute of Technology, Cambridge, MA, March 2005.

Wu, Jia Jane (S.M. Thesis, EECS, MIT, May 2005): Comparing Visual Features for Morphing Based Recognition.

Yokono, J.J. and T. Poggio. Boosting a Biologically Inspired Local Descriptor for Geometry-free Face and Full Multi-view 3D Object Recognition, CBCL Paper #254/AI Memo #2005-023, Massachusetts Institute of Technology, Cambridge, MA, July 2005.

Yokoyama, M. and T. Poggio. A Contour-Based Moving Object Detection and Tracking. In: Proceedings of Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (in conjunction with ICCV 2005), Beijing, China, October 15-16, 2005.

2004:

Bouvrie, Jacob V. (S.M. Thesis, EECS, MIT, June 2004): Multi-Source Contingency Clustering.

Cadieu, C., M. Kouh, M. Riesenhuber and T. Poggio. Shape Representation in V4: Investigating Position-specific Tuning for Foundary Conformation with the Standard Model of Object Recognition, CBCL Paper #241/AI Memo #2004-024, Massachusetts Institute of Technology, Cambridge, MA, November, 2004.

Fischer, Robert (S.M. Thesis, Math & Natural Sciences, MIT/Univ. of Applied Science Darmstadt, Germany, October 2004): Automatic Facial Expression Analysis and Emotional Classification.

Heisele, B. and T. Koshizen. Components for Face Recognition. In: Proceedings of the 6th International Conference on Automatic Face and Gesture Recognition, Seoul, Korea, 153-158, 2004.

Ivanov, I., B. Heisele and T. Serre. Using Component Features for Face Recognition. In: Proceedings of the 6th International Conference on Automatic Face and Gesture Recognition, Seoul, Korea, 421-426, 2004.

Kouh, M. and T. Poggio A General Mechanisms for Tuning: Gain Control Circuits and Synapses Underlie Tuning of Cortical Neurons, CBCL Paper #245/AI Memo #2004-031, Massachusetts Institute of Technology, Cambridge, MA, December 2004.

Kyriakides, Alexandros (S.M. Thesis, EECS, MIT, February 2004): Supervised Information Retrieval for Text and Images.

Leung, Brian (S.M. Thesis, EECS, MIT, May 2004): Component-based Car Detection in Street Scene Images.

Paysan, Pascal (S.M. Thesis, Computer Science, Fachochschule Esslingen, February 2004): Stereovision-based Vehicle Classification Using Support Vector Machines.

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.

Shimizu, H. and T. Poggio. Direction Estimation of Pedestrian from Multiple Still Images. In: IEEE Intelligent Vehicles Symposium 2004, Parma, Italy, June 14-17, 2004.

Weyrauch, B., J. Huang, B. Heisele and V. Blanz. Face Processing in Video. In: Proceedings of 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), IEEE Computer Society Press, Washington, DC, 2004, in press.

Yokono, J.J. and T. Poggio. Oriented Filters for Object Recognition: An Empirical Study. In: Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR2004, Seoul, Korea), 755-760, 2004.

Yokono, J.J. and T. Poggio. Rotation Invariant Object Recognition from One Training Example, CBCL Paper #238/AI Memo #2004-010, Massachusetts Institute of Technology, Cambridge, MA, April, 2004.

Yokono, J.J. and T. Poggio. Evaluation of Sets of Oriented and Non-oriented Receptive Fields as Local Descriptors, CBCL Paper #237/AI Memo #2004-007, Massachusetts Institute of Technology, Cambridge, MA, March, 2004.

2003:

Bileschi, S.M. (S.M. Thesis, EECS, MIT, January 2003): Advances in Component-based Face Detection.

Bileschi, S.M. and B. Heisele. Advances in Component Based Face Detection. In: Proceedings of the 2003 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2003, Nice France), 149-156, 2003.

Heisele, B. Visual Object Recognition with Supervised Learning, IEEE Intelligent Systems - AI's Second Century, 38-42, May-June 2003.

Heisele, B., P. Ho, J. Wu and T. Poggio. Face Recognition: Component-based versus Global Approaches, Computer Vision and Image Understanding, Vol. 91, No. 1/2, 6-21, 2003.

Heisele, B., T. Serre, S. Prentice and T. Poggio. Hierarchical Classification and Feature Reduction for Fast Face Detection with Support Vector, Pattern Recognition, 36, 2007-2017, 2003.

Huang, J. (S.M. Thesis, EECS, MIT, January 2003): Component-based Face Recognition with 3D Morphable Models.

Kim, Brian (S.M. Thesis, EECS, MIT, June 2003): Multi-Source Human Identification.

Louie, J. A Biological Model of Object Recognition with Feature Learning, CBCL Paper #227/AI Technical Report #2003-009, Massachusetts Institute of Technology, Cambridge, MA, May 2003.

Louie, Jennifer (S.M. Thesis, EECS, MIT, May 2003): A Biological Model of Object Recognition with Feature Learning.

Morgenstern, C. and B. Heisele. Component-based Recognition of Objects in an Office Environment, CBCL Paper #232/AI Memo #2003-024, Massachusetts Institute of Technology, Cambridge, MA, November 2003.

Nakajima, C., M. Pontil, B. Heisele and T. Poggio. Full-body Person Recognition System, Pattern Recognition, 36, 1997-2006, 2003.

Shimizu, H. and T. Poggio. Direction Estimation of Pedestrain from Images, CBCL Paper #230/AI Memo #2003-020, Massachusetts Institute of Technology, Cambridge, MA, August 2003.

2002:

Bileschi, S.M. and B. Heisele. Advances in Component-based Face Detection. In: Proceedings of Pattern Recognition with Support Vector Machines, First International Workshop, SVM 2002, Niagara Falls, Canada, S.-W. Lee and A. Verri (eds.), Lecture Notes in Computer Science, Springer LNCS 2388, 135-143, 2002.

Crane, A. (S.M. Thesis, EECS, MIT, September 2002): Object Recognition with Partially Labeled Examples.

Heisele, B., T. Serre, M. Pontil, T. Vetter and T. Poggio. Categorization by Learning and Combining Object Parts. In: Advances in Neural Information Processing Systems 14, Vancouver, Canada, Vol. 2, 1239-1245, 2002.

Heisele, B., A. Verri and T. Poggio. Learning and Vision Machines. In: Proceedings of the IEEE, Visual Perception: Technology and Tools, Vol. 90, No. 7, 1164-1177, 2002.

Huang, J., V. Blanz and B. Heisele. Face Recognition Using Component-Based SVM Classification and Morphable Models. In: Proceedings of Pattern Recognition with Support Vector Machines, First International Workshop, SVM 2002, Niagara Falls, Canada, S.-W. Lee and A. Verri (eds.), Lecture Notes in Computer Science, Springer 2388, 334-341, 2002.

Kumar, V. (Ph.D. Thesis, BCS, MIT, June 2002): Towards Trainable Man-machine Interfaces: Combining Top-down Constraints with Bottom-up Learning in Facial Analysis.

Szummer, M. (Ph.D. Thesis, EECS, MIT, September 2002): Learning from Partially Labeled Data.

Weinstein, E., P. Ho, B. Heisele, T. Poggio, K. Steele and A. Agarwal. Handheld Face Identification Technology in a Pervasive Computing Environment. In: Proceedings of Pervasive 2002, Zurich, Switzerland, August 26-28, 48-54, 2002.

2001:

Alvira, M. and Rifkin, R. An Empirical Comparison of SNoW and SVMs for Face Detection, CBCL Paper #193/AI Memo #2001-004, Massachusetts Institute of Technology, Cambridge, MA, January 2001.

Heisele, B., P. Ho and T. Poggio. Face Recognition with Support Vector Machines: Global Versus Component-based Approach, International Conference on Computer Vision (ICCV'01), Vancouver, Canada, Vol. 2, 688-694, 2001.

Heisele, B., T. Serre, M. Pontil and T. Poggio. Component-based Face Detection. In: Proceedings of 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), IEEE Computer Society Press, Kauai, Hawaii, Vol. 1, 657-662, December 2001.

Heisele, B., T. Serre, S. Mukherjee and T. Poggio. Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images. In: Proceedings of 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), IEEE Computer Society Press, Kauai, Hawaii, Vol. 2, 18-24, December 2001.

Ho, P. Rotation Invariant Real-time Face Detection and Recognition System, CBCL Paper #197/AI Memo #2001-010, Massachusetts Institute of Technology, Cambridge, MA, May 2001.

Ho, Purdy (S.M. Thesis, EECS, MIT, May 2001): "Rotation Invariant Realtime Face Detection and Recognition System."

Mohan, A., C. Papageorgiou and T. Poggio. Example-based Object Detection in Images by Components, IEEE (PAMI), Vol. 23, No. 4, 349-361, April 2001.

Sadr, J. and P. Sinha. Exploring Object Perception with Random Image Structure Evolution, CBCL Paper #196/AI Memo #2001-006, Massachusetts Institute of Technology, Cambridge, MA, March 2001.

Torralba, A. and A. Oliva. Global Depth Perception from Familiar Scene Structure, CBCL Paper #213/AI Memo #2001-036, Massachusetts Institute of Technology, Cambridge, MA, December 2001.

Torralba, A. and P. Sinha. Detecting Faces in Impoverished Images, CBCL Paper #208/AI Memo #2001-028, Massachusetts Institute of Technology, Cambridge, MA, November 2001.

Torralba, A. and P. Sinha. Contextual Priming for Object Detection, CBCL Paper #205/AI Memo #2001-020, Massachusetts Institute of Technology, Cambridge, MA, September 2001.

Torralba, A. and P. Sinha. Recognizing Indoor Scenes, CBCL Paper #202/AI Memo #2001-015, Massachusetts Institute of Technology, Cambridge, MA, July 2001.

Yip, A. and P. Sinha. Role of Color in Face Recognition, CBCL Paper #212/AI Memo #2001-035, Massachusetts Institute of Technology, Cambridge, MA, December 2001.

2000:

Heisele, B., T. Poggio and M. Pontil. Face Detection in Still Gray Images, CBCL Paper #187/AI Memo #1687, Massachusetts Institute of Technology, Cambridge, MA, June 2000.

Kumar, V. and T. Poggio. Learning-based Approach to Real Time Tracking and Analysis of Faces. In: Proceedings of the Fourth International Conference on Face and Gesture Recognition, Grenoble, France, 91-96, March, 2000.

Nakajima, C., I. Norihiko, M. Pontil and T. Poggio. Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation. In: Proceedings of International Conference on Pattern Recognition, Barcelona, Spain, September 2000.

Nakajima, C., M. Pontil and T. Poggio. People Recognition and Pose Estimation in Image Sequences. In: Proceedings of IEEE-INNS-ENNS International Joint Conference on Neural Networks, Como, Italy, July 2000.

Nakajima, C., M. Pontil, B. Heisele and T. Poggio. People Recognition in Image Sequences by Supervised Learning, CBCL Paper #188/AI Memo #1688, Massachusetts Institute of Technology, Cambridge, MA, June 2000.

Papageorgiou, C. and T. Poggio. "A Trainable System for Object Detection," International Journal of Computer Vision, 38, 1, 15-33, 2000.

Poggio, T. and A. Verri. "Introduction: Learning and Vision at CBCL," International Journal of Computer Vision, 38, 1, 5-7, 2000.

Serre, T. (Graduate Engineering degree, Ecole Nationale Supérieure des Télécommunications de Bretagne, October 2000): "Feature Selection for Face Detection in Still Gray Images."

Serre, T., 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.

Sinha, P. "The Perception of Gaze Direction,"Perception, 2000 (to appear).

1999:

Papageorgiou, C. (Ph.D. Thesis, EECS, MIT, December 1999): A Trainable System for Object Detection in Images and Video Sequences.

Kumar, V. and T. Poggio. Learning-based Approach to Real-time Tracking and Analysis of Faces, CBCL Paper #179/AI Memo #1672, Massachusetts Institute of Technology, Cambridge, MA, September 1999.

Mohan, A. Object Detection in Images by Components, CBCL Paper #178/AI Memo #1664, Massachusetts Institute of Technology, Cambridge, MA, June 1999.

Mohan, A. (S.M. Thesis, EECS, MIT, June 1999): "Robust Object Detection in Images by Computers."

Papageorgiou, C. and T. Poggio. Trainable Pedestrian Detection. In: Proceedings of International Conference on Image Processing (ICIP'99), Kobe, Japan, October 1999.

Papageorgiou, C. and T. Poggio. A Pattern Classification Approach to Dynamical Object Detection, International Conference on Computer Vision (ICCV'99), Corfu, Greece, 1223-1228, September 1999.

Papageorgiou, C. and T. Poggio. A Trainable Object Detection System: Car Detection in Static Images, CBCL Paper #180/AI Memo #1673, Massachusetts Institute of Technology, Cambridge, MA, April 1999.

Papageorgiou, C., F. Girosi and T. Poggio. Sparse Correlation Kernel Reconstruction. In: Proceedings of International Conference on Acoustics, Speech, and Signal Processing, Phoenix, AZ, 1633-1636, March 1999.

Poggio, T. and Shelton, C. Machine Learning, Machine Vision and the Brain, AI Magazine, Vol. 20, No. 3, 37-55, 1999.

1998:

Osuna, E. (Ph.D. Thesis, EECS & OR, MIT, June 1998): "Support Vector Machines: Training and Applications."

Papageorgiou, C., F. Girosi and T. Poggio. Sparse Correlation Kernel Analysis and Reconstruction, CBCL Paper #162/AI Memo #1635, Massachusetts Institute of Technology, Cambridge, MA, May 1998.

Papageorgiou, C., M. Oren, and T. Poggio. A General Framework for Object Detection, International Conference on Computer Vision (ICCV'98), Bombay, India, 555-562, January 1998.

Papageorgiou, C., T. Evgeniou, and Poggio, T. A Trainable Pedestrian Detection System. In: Proceedings of Intelligent Vehicles, Stuttgart, Germany, 241-246, October 1998.

Pontil, M. and A. Verri. Object Recognition with Support Vector Machines. In: IEEE Trans. Pattern Anal. Mach. Intell., Vol. 20, 637-646, 1998.

Shelton, C. (S.M. Thesis, EECS, MIT, May 1998): Three-Dimensional Correspondence.

Sung, K.K. and T. Poggio. "Example-Based Learning for View-Based Human Face Detection," IEEE PAMI, Vol. 20, No. 1, 39-51, 1998.

1997:

Bobick, A., A. Pentland and T. Poggio. "VSAM at the MIT Media Laboratory and CBCL: Learning and Understanding Action in Video Imagery." In: Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, 25-29, May 1997.

Brooks, R., E. Grimson, T. Poggio, C. Koch, C. Sodini, L. Stein, and W. Yang. "A Trainable Modular Vision System." In: Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, 1307-1313, 1997.

Brunelli, B. and T. Poggio. "Template Matching: Matched Spatial Filters and Beyond," Pattern Recognition, Vol. 30, No. 5, 751-768, 1997.

Grimson, E., P. Viola, O. Faugeras, T. Lorenzo-Perez, T. Poggio, S. Teller. "A Forest of Sensors." In: Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, 45-50, 1997.

Jones, M. (Ph.D. Thesis, EECS, MIT, June 1997): "Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes."

Jones, M. and T. Poggio. Model-Based Matching by Linear Combinations of Prototype. In: Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, 1357-1365, 1997.

Jones, M., P. Sinha, T. Vetter, and T. Poggio. "Top-Down Learning of Low-Level Vision Tasks," Current Biology, Vol. 7, No. 12, 991-994, 1997.

Lipson, P., E. Grimson and P. Sinha. "Configuration-Based Scene Classification and Image Indexing." In: Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), Puerto Rico, 1007-1013, 1997.

Oren, M., C. Papageorgiou, P. Sinha, E. Osuna and T. Poggio. Pedestrian Detection Using Wavelet Templates. In: Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), Puerto Rico, 193-199, June 1997.

Oren, M., C. Papageorgiou, P. Sinha, E. Osuna, and T. Poggio. A Trainable System for People Detection. In: Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, 207-214, May 1997.

Osuna, E., R. Freund and F. Girosi. Training Support Vector Machines: An Application to Face Detection. In: Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), Puerto Rico, 130-136, June 1997.

Poggio, T. and P. Sinha. "Image Representations for Graphics and Recognition." In: Proceedings of the IS&T/SPIE Symposium on Electronic Imaging Science and Technology, San Jose, CA, February 1997.

Vetter, T., M. Jones and T. Poggio. A Bootstrapping Algorithm for Learning Linear Models of Object Classes. In: Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, May 1997, in press.

Vetter, T., M. Jones and T. Poggio. A Bootstrapping Algorithm for Learning Linear Models of Object Classes. In: Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), Puerto Rico, 40-46, 1997.

1996:

Beymer, D. and T. Poggio. "Regularization Networks for Visual Learning." In: Early Visual Learning, S. Nayar and T. Poggio (eds.), Oxford University Press, 43-66, 1996.

Beymer, D. and T. Poggio, "Learning to See," IEEE Spectrum, 60-69, May 1996.

Grimson, W.E.L., B.K.P. Horn, T. Poggio and the staff of the AI Laboratory. "Progress in Image Understanding at MIT." In: Proceedings of the 1996 Image Understanding Workshop, Morgan Kaufmann, San Francisco, CA, 65-74, 1996.

Nayar, S. and T. Poggio. "Learning and Vision." In: Early Visual Learning, S. Nayar and T. Poggio (eds.), Oxford University Press, 1-8, 1996.

Sinha, P. and T. Poggio. "I think I Know that Face...," Nature (Correspondence), Vol. 384, No. 6608, 404, 1996.

Sung, K.-K. (Ph.D. Thesis, EECS, MIT, February 1996): "Learning and Example Selection for Object and Pattern Detection."

Yiu, E. (S.M. Thesis, EECS, MIT, June 1996): "Image Classification Using Color Cues and Texture Orientation."

1995:

Beymer, D. (Ph.D. Thesis, EECS, MIT, August 1995): "Pose-invariant Face Recognition Using Real and Virtual Views."

Brunelli, R. and T. Poggio. Template Matching: Matched Spatial Filters and Beyond, CBCL Paper 123/AI Memo 1549, Massachusetts Institute of Technology, Cambridge, MA, October 1995.

Jones, M. and T. Poggio. Model-based Matching of Line Drawings by Linear Combinations of Prototypes. In: Proceedings of the IEEE 5th International Conference on Computer Vision, IEEE Computer Society Press, Cambridge, MA, 531-536, June 1995.

Sinha, P. (Ph.D. Thesis, EECS, MIT, August 1995): "Perceiving and Recognizing Three-Dimensional Forms."

Sung, K.K. and T. Poggio. Finding Human Faces with a Gaussian Mixture Distribution-based Face Model, Recent Progress in Computer Vision, LNCS Series, Springer-Verlag, 1995.

Sung, K.K. and T. Poggio. Finding Human Faces with a Gaussian Mixture Distribution-based Face Model. In: Proceedings of Second Asian Conference on Computer Vision, Singapore, December 1995.

Vetter, T., A. Hurlbert, and T. Poggio. "View-based Models of 3D Object Recognition: Invariance to Imaging Transformations," Cerebral Cortex, Vol. 5, No. 3, 261-269, 1995.