Long QUAN
The Department of Computer Science
The Hong Kong University of Science and Technology
Clear Water Bay, Kowloon, Hong Kong, China
Office: 3506
Email: quan at cs dot ust dot hk
Office phone: (852) 2358 7018
Office fax: (852) 2358 1477
Long Quan received the Ph.D. degree in Computer Science from INPL, France, in 1989. Before joining the Department of Computer Science at the Hong Kong University of Science and Technology (HKUST) in 2001, He has been a French CNRS senior research scientist at INRIA in Grenoble since 1990. His research interests focus on 3D Reconstruction, Structure from Motion, Vision Geometry, and Image-based Modeling.
He has served as an Associate Editor of PAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence) and a Regional Editor of IVC (Image and Vision Computing Journal ), and is currently an editorial board member of IJCV (the International Journal of Computer Vision), ELCVIA (the Electronic Letters on Computer Vision and Image Analysis), MVA (Machine Vision and Applications) and Foundations and Trends in Computer Graphics and Vision.
He has served in the conference committees of ICCV (International Conference on Computer Vision), ECCV (European Conference on Computer Vision), and CVPR ( IEEE Computer Vision and Pattern Recognition) and ICPR (IAPR International Conference on Pattern Recognition). He served as a Program Chair of ICPR 2006 Computer Vision and Image Analysis, and is a General Chair of the coming ICCV 2011 in Barcelona.
He has been elected as the Best Ten Lecturers by the students at HKUST in 2004.
Teaching:
Spring 2009, COMP171: The course website is here.
Recent publications:
Image Deblurring with Blurred/Noisy Image Pairs (pdf), Siggraph2007
Isotropy, Reciprocity and the Generalized Bas-Relief Ambiguity (pdf), CVPR2007
Image-based Tree Modeling (pdf ), Siggraph2007
Image-based Plant Modeling ( pdf), Siggraph2006.
Modeling Hair from Muliple Views (pdf version), Siggraph2005.
A Quasi-Dense Approach to Surface Reconstruction from Uncalibrated Images (pdf version), PAMI, vol 27, no. 3, pp. 418--433,March 2005 (Some image sequences are available here).
Other publications may be found here.
Research group:
Computer Vision and Graphics
Group