Li Fei-Fei
Li Fei-Fei
Professor of Computer Science, Stanford University
Verified email at cs.stanford.edu - Homepage
TitleCited byYear
Imagenet: A large-scale hierarchical image database
J Deng, W Dong, R Socher, LJ Li, K Li, L Fei-Fei
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009
142442009
Imagenet large scale visual recognition challenge
O Russakovsky, J Deng, H Su, J Krause, S Satheesh, S Ma, Z Huang, ...
International journal of computer vision 115 (3), 211-252, 2015
131072015
A bayesian hierarchical model for learning natural scene categories
L Fei-Fei, P Perona
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer …, 2005
41212005
Large-scale video classification with convolutional neural networks
A Karpathy, G Toderici, S Shetty, T Leung, R Sukthankar, L Fei-Fei
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2014
37152014
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
L Fei-Fei, R Fergus, P Perona
2004 conference on computer vision and pattern recognition workshop, 178-178, 2004
34592004
Deep visual-semantic alignments for generating image descriptions
A Karpathy, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2015
28922015
Perceptual losses for real-time style transfer and super-resolution
J Johnson, A Alahi, L Fei-Fei
European conference on computer vision, 694-711, 2016
22492016
Unsupervised learning of human action categories using spatial-temporal words
JC Niebles, H Wang, L Fei-Fei
International Journal of Computer Vision 79 (3), 299-318, 2008
19592008
One-shot learning of object categories
L Fei-Fei, R Fergus, P Perona
IEEE transactions on pattern analysis and machine intelligence 28 (4), 594-611, 2006
14182006
Object bank: A high-level image representation for scene classification and semantic feature sparsification
LJ Li, H Su, EP Xing, L Fei-Fei
Advances in Neural Information Processing Systems, 2010
10032010
Learning object categories from Google's image search
R Fergus, L Fei-Fei, P Perona, A Zisserman
Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on 2 …, 2005
8762005
Learning Object Categories from Googles Image Search. Computer Vision, 2005. ICCV 2005
R Fergus, L Fei-Fei, P Perona, A Zisserman
Tenth IEEE International Conference on 2, 17-21, 2005
876*2005
Visual genome: Connecting language and vision using crowdsourced dense image annotations
R Krishna, Y Zhu, O Groth, J Johnson, K Hata, J Kravitz, S Chen, ...
International Journal of Computer Vision 123 (1), 32-73, 2017
8572017
What, where and who? classifying events by scene and object recognition.
LJ Li, FF Li
Iccv 2 (5), 6, 2007
8192007
Rapid natural scene categorization in the near absence of attention
FF Li, R VanRullen, C Koch, P Perona
Proceedings of the National Academy of Sciences 99 (14), 9596, 2002
7842002
Modeling temporal structure of decomposable motion segments for activity classification
J Niebles, CW Chen, L Fei-Fei
Computer Vision–ECCV 2010, 392-405, 2010
7012010
Simultaneous image classification and annotation
W Chong, D Blei, FF Li
2009 IEEE Conference on Computer Vision and Pattern Recognition, 1903-1910, 2009
6262009
3d object representations for fine-grained categorization
J Krause, M Stark, J Deng, L Fei-Fei
Proceedings of the IEEE International Conference on Computer Vision …, 2013
6172013
Visualizing and understanding recurrent networks
A Karpathy, J Johnson, L Fei-Fei
arXiv preprint arXiv:1506.02078, 2015
6112015
Social lstm: Human trajectory prediction in crowded spaces
A Alahi, K Goel, V Ramanathan, A Robicquet, L Fei-Fei, S Savarese
Proceedings of the IEEE conference on computer vision and pattern …, 2016
5832016
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Articles 1–20