My main research interest is in developing robust and efficient algorithms for object recognition. A common thread in my research has been the focus on reasoning the shape of visual objects from noisy, real-world images, where the uncertainties over image appearance and imaging conditions are prevalent. The ability to resolving such uncertainties and reliably identifying object structures is the major difference between machine vision and human vision systems. My approach is primarily a Bayes one, involving designing hierarchical models that represent visual shapes, and developing inference algorithms to retrieve them from images.

	Frontal Face Alignment (Try Your pictures here!)
	Human Body Alignment
	3D Alignment of Face in a Single Image

Publications

Gu, L. and Kanade, T.
A Generative Shape Regularization Model for Robust Face Alignment
Proceedings of The 10th European Conference on Computer Vision, Marseille, France, 2008.
(pdf) (slides)

Gu, L., Xing, E. and Kanade, T.
Learning GMRF Structures for Spatial Priors
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, 2007.
(pdf) (slides)

Gu, L. and Kanade, T.
3D Alignment of Face in a Single Image
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, New York, 2006.
(pdf) (slides)

Zhou, Y., Gu, L. and Zhang, H.
Bayesian Tangent Shape Model: Estimating Shape and Pose Parameters via Bayesian Inference
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Wisconsin, 2003.
(pdf) (slides)

Gu, L., Li, S. and Zhang, H.
Learning Probabilistic Distribution Model for Multi-View Face Detection
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Hawaii, 2001.
(pdf)

Chen, X., Gu, L., Li, S. and Zhang, H.
Learning Representative Local Features for Face Detection
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Hawaii, 2001.
(pdf)

Li, S., Gu, L., Fu, Q., Cheng Y., Scholkopf B. and Zhang, H.
Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation
Proceedings of the International Conference on Computer Vision, Vancouver, 2001.
(pdf)

Qi, W., Gu, L., Jiang, H., Chen X. and Zhang, H.
Integrating Visual, Audio and Text Analysis for News Video
Proceedings of the International Conference on Image Processing, Vancouver, 2000.
(pdf)

Teaching Assistant

Spring 2008: 10-701/15-781: Machine Learning

Fall 2006: 11-745: Advanced Statistical Learning Seminar

Spring 2005: 15-385: Computer Vision

Audited
Intermediate Probability (STAT 36-703)
Intermediate Statistics (STAT 36-705)
Applied Bayesian and Computational Statistics (STAT 36-724)
Nonparametric Methods (STAT 36-713).

Talks

Face Alignment, PIA Seminar, 10/06/2006.

3D Alignment of Face in a Single Image, CVPR 2006, 07/19/2006.

Part Based Face Alignment, PIA Seminar, 12/09/2005.

2D and 3D Face Alignment, VASC Seminar, 07/05/2003.

Shape Registration, IFIVE, 07/01/2003.

Bayesian Tangent Shape Model For Face Registration, CVPR 2003, 06/19/2003.

Learning Probabilistic Distribution Model for Multi-View Face Detection, MSR Asia, 12/12/2001. 

Visual Tracking and Its Bayesian Treatment, MSR Asia, 11/14/2001.

Kernel-Based Face Distribution Modeling, MSR Asia, 4/9/2001.