@conference {315,
	title = {Predicting Facial Beauty without Landmarks},
	booktitle = {European Conference on Computer Vision (ECCV)},
	year = {2010},
	url = {http://users.soe.ucsc.edu/~dgray/dgray_eccv2010final.pdf},
	author = {Gray, Douglas and Yu, K. and Xu, W. and Gong, Y.}
}
@article {1266976,
	title = {Multi-object trajectory tracking},
	journal = {Mach. Vision Appl.},
	volume = {18},
	number = {3},
	year = {2007},
	pages = {221{\textendash}232},
	publisher = {Springer-Verlag New York, Inc.},
	address = {Secaucus, NJ, USA},
	issn = {0932-8092},
	doi = {http://dx.doi.org/10.1007/s00138-007-0071-5},
	author = {Han, Mei and Xu, W. and Tao, H. and Gong, Y.}
}
@conference {1172460,
	title = {A Conditional Random Field Model for Video Super-resolution},
	booktitle = {ICPR {\textquoteright}06: Proceedings of the 18th International Conference on Pattern Recognition},
	year = {2006},
	pages = {619{\textendash}622},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Washington, DC, USA},
	isbn = {0-7695-2521-0},
	doi = {http://dx.doi.org/10.1109/ICPR.2006.56},
	author = {Kong, D. and Han, Mei and Xu, W. and Tao, H. and Gong, Y.}
}
@conference {bb72642,
	title = {Video Super-resolution with Scene-specific Priors},
	booktitle = {BMVC06},
	year = {2006},
	pages = {II:549},
	author = {Kong, D. and Han, Mei and Xu, W. and Tao, H. and Gong, Y.}
}
@proceedings {Xu_backgroundmodeling,
	title = {Background Modeling Using Time Dependent Markov Random Field With Image Pyramid},
	year = {2005},
	author = {Xu, W. and Zhou, Y. and Gong, Y. and Tao, H.}
}
@conference {4129578,
	title = {Background Segmentation Using Spatial-Temporal Multi-Resolution MRF},
	booktitle = {IEEE Workshop on Motion and Video Computing (WACV/MOTIONS {\textquoteright}05)},
	volume = {2},
	year = {2005},
	month = {Jan.},
	pages = {8-13},
	doi = {10.1109/ACVMOT.2005.32},
	author = {Zhou, Y. and Xu, W. and Tao, H. and Gong, Y.}
}
@conference {1315122,
	title = {An algorithm for multiple object trajectory tracking},
	booktitle = {IEEE CVPR 2004},
	volume = {1},
	year = {2004},
	month = {June-2 July},
	pages = {I-864-I-871 Vol.1},
	keywords = {MAP solution, hidden Markov models, joint state observation probability, likelihood computation, maximum a posteriori solution, maximum likelihood sequence estimation, multiobject configuration, multiple object trajectory tracking, object detection, object detection map, object state estimation, observation model, optimal state sequence estimation, pixel wise object detection scores, probabilistic framework, probability, state estimation, temporal distractions, tracking Hidden Markov model},
	issn = {1063-6919},
	doi = {10.1109/CVPR.2004.1315122},
	author = {Han, Mei and Xu, W. and Tao, H. and Gong, Y.}
}
