Department of Computer Science
Stanford University

Office: Room 240 Gates Building

Mail: 353 Serra Mall, Gates Building, Stanford, CA 94305-9020

Email:lijiali [at]stanford [dot] edu

 

Selected Book Chapter and Journal paper:

Li Fei-Fei and Li-Jia Li. What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization. Book chapter in "Studies in Computational Intelligence- Computer Vision". Volume 285/2010, Springer, 2010. PDF, BibTex

Li-Jia Li and Li Fei-Fei. OPTIMOL: automatic Object Picture collecTion via Incremental MOdel Learning. International Journal of Computer Vision (IJCV). 2009. PDF

 

Selected Conference Publications:

Li-Jia Li*, Hao Su*, Eric. P. Xing and Li Fei-Fei. Object Bank: A High-Level Image Representation for Scene Classification and Semantic Feature Sparsification. Proceedings of the Neural Information Processing Systems (NIPS). 2010. PDF

Jun Zhu, Li-Jia Li, Li Fei-Fei and Eric. P. Xing. Large Margin Learning of Upstream Scene Understanding Models. Proceedings of the Neural Information Processing Systems (NIPS). 2010. PDF

Li-Jia Li*, Hao Su*, Yongwhan Lim and Li Fei-Fei, Objects as Attributes for Scene Classification. the 12th European Conference of Computer Vision (ECCV), 1st International Workshop on Parts and Attributes. 2010. PDF

Li-Jia Li*, Chong Wang*, Yongwhan Lim, David Blei and Li Fei-Fei.Building and Using a Semantivisual Image Hierarchy. IEEE Computer Vision and Pattern Recognition (CVPR). 2010. PDF 

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li and Li Fei-Fei. ImageNet: A Large-Scale Hierarchical Image Database.IEEE Computer Vision and Pattern Recognition (CVPR) . 2009. PDF

Li-Jia Li, Richard Socher and Li Fei-Fei. Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic FrameworkIEEE Computer Vision and Pattern Recognition (CVPR). 2009. PDF PPT

Li-Jia Li and Li Fei-Fei. What, where and who? Classifying event by scene and object recognition. IEEE Intern. Conf. in Computer Vision (ICCV). 2007. PDF

Li-Jia Li, Juan Carlos Niebles and Li Fei-Fei. OPTIMOL: a framework for Online Picture collecTion via Incremental MOdel LearningAssociation for the Advancement of Artificial Intelligence (AAAI) 2007 Robot Competition and Exhibition, 2007

Li-Jia Li, Gang Wang and Li Fei-Fei. OPTIMOL: automatic Object Picture collecTion via Incremental MOdel Learning.IEEE Computer Vision and Pattern Recognition (CVPR). 2007.PDF

(* indicates equal contribution)

 

 

 


Selected Honors:

The AAAI 2007 Semantic Robot Vision Challenge - 1st Place in the Software League, Team Link

 

Last modified Sep. 2010 by Jia Li