| 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 | 27098 | 2009 |
| 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 | 22604 | 2015 |
| 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 | 5585 | 2014 |
| 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 | 4857 | 2016 |
| 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 | 4619 | 2005 |
| Deep visual-semantic alignments for generating image descriptions A Karpathy, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 4260 | 2015 |
| 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 | 4019 | 2004 |
| 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 | 2158 | 2008 |
| 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 | 1971 | 2006 |
| 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 | 1856 | 2017 |
| 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 | 1305 | 2016 |
| 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 | 1241 | 2013 |
| 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 | 1122 | 2010 |
| 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 | 1008 | 2018 |
| What, where and who? classifying events by scene and object recognition LJ Li, L Fei-Fei 2007 IEEE 11th international conference on computer vision, 1-8, 2007 | 946 | 2007 |
| Visualizing and understanding recurrent networks A Karpathy, J Johnson, L Fei-Fei arXiv preprint arXiv:1506.02078, 2015 | 936 | 2015 |
| 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 | 935 | 2005 |
| 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 | 935* | 2005 |
| 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 | 922 | 2017 |
| 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 | 902 | 2016 |
Andrej KarpathyComputer Science PhD student, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
