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Li Fei-Fei
Li Fei-Fei
Professor of Computer Science, Stanford University
Dirección de correo verificada de cs.stanford.edu - Página principal
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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
751082009
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, 211-252, 2015
471062015
Perceptual losses for real-time style transfer and super-resolution
J Johnson, A Alahi, L Fei-Fei
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
120432016
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
87062014
Deep visual-semantic alignments for generating image descriptions
A Karpathy, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2015
71262015
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, 32-73, 2017
58742017
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
56602004
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
51062005
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
41382013
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
38372021
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
36582016
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
31562006
Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
J Johnson, B Hariharan, L Van Der Maaten, L Fei-Fei, C Lawrence Zitnick, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
24652017
Progressive neural architecture search
C Liu, B Zoph, M Neumann, J Shlens, W Hua, LJ Li, L Fei-Fei, A Yuille, ...
Proceedings of the European conference on computer vision (ECCV), 19-34, 2018
24042018
Social gan: Socially acceptable trajectories with generative adversarial networks
A Gupta, J Johnson, L Fei-Fei, S Savarese, A Alahi
Proceedings of the IEEE conference on computer vision and pattern …, 2018
23242018
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
22802008
Target-driven visual navigation in indoor scenes using deep reinforcement learning
Y Zhu, R Mottaghi, E Kolve, JJ Lim, A Gupta, L Fei-Fei, A Farhadi
2017 IEEE international conference on robotics and automation (ICRA), 3357-3364, 2017
18872017
Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels
L Jiang, Z Zhou, T Leung, LJ Li, L Fei-Fei
International conference on machine learning, 2304-2313, 2018
17312018
Novel dataset for fine-grained image categorization: Stanford dogs
A Khosla, N Jayadevaprakash, B Yao, FF Li
Proc. CVPR workshop on fine-grained visual categorization (FGVC) 2 (1), 2011
17252011
Densecap: Fully convolutional localization networks for dense captioning
J Johnson, A Karpathy, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2016
14722016
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Artículos 1–20