Li-Jia Li
Li-Jia Li
Adjunct Professor, School of Medicine, Stanford University
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Imagenet: A large-scale hierarchical image database
J Deng, W Dong, R Socher, LJ Li, K Li, L Fei-Fei
2009 IEEE conference on computer vision and pattern recognition, 248-255, 2009
221592009
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
14802017
Object bank: A high-level image representation for scene classification & semantic feature sparsification
LJ Li, H Su, L Fei-Fei, EP Xing
Advances in neural information processing systems (NIPS), 1378-1386, 2010
10662010
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
8832007
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
7572018
YFCC100M: The new data in multimedia research
B Thomee, DA Shamma, G Friedland, B Elizalde, K Ni, D Poland, D Borth, ...
Communications of the ACM 59 (2), 64-73, 2016
7092016
YFCC100M: The new data in multimedia research
B Thomee, DA Shamma, G Friedland, B Elizalde, K Ni, D Poland, D Borth, ...
Communications of the ACM 59 (2), 64-73, 2016
7092016
Towards total scene understanding: Classification, annotation and segmentation in an automatic framework
LJ Li, R Socher, L Fei-Fei
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2036-2043, 2009
6002009
Multi-view face detection using deep convolutional neural networks
SS Farfade, MJ Saberian, LJ Li
Proceedings of the 5th ACM on International Conference on Multimedia …, 2015
4882015
Image retrieval using scene graphs
J Johnson, R Krishna, M Stark, LJ Li, D Shamma, M Bernstein, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2015
4642015
Optimol: automatic online picture collection via incremental model learning
LJ Li, L Fei-Fei
International journal of computer vision 88 (2), 147-168, 2010
4382010
Amc: Automl for model compression and acceleration on mobile devices
Y He, J Lin, Z Liu, H Wang, LJ Li, S Han
Proceedings of the European Conference on Computer Vision (ECCV), 784-800, 2018
4082018
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
3192018
The new data and new challenges in multimedia research
B Thomee, DA Shamma, G Friedland, B Elizalde, K Ni, D Poland, D Borth, ...
arXiv preprint arXiv:1503.01817 1 (8), 2015
2452015
Deepsentibank: Visual sentiment concept classification with deep convolutional neural networks
T Chen, D Borth, T Darrell, SF Chang
arXiv preprint arXiv:1410.8586, 2014
2362014
Learning from Noisy Labels with Distillation
Y Li, J Yang, Y Song, L Cao, J Luo, LJ Li
ICCV 2017, 2017
2222017
The data on diversity
B Nelson
Communications of the ACM 57 (11), 86-95, 2014
193*2014
Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos
Y Kalantidis, L Kennedy, LJ Li
Proceedings of the 3rd ACM conference on International conference on …, 2013
1842013
Deep Reinforcement Learning-based Image Captioning with Embedding Reward
Z Ren, X Wang, N Zhang, X Lv, LJ Li
Computer Vision and Pattern Recognition, CVPR 2017, 2017
1832017
Objects as attributes for scene classification
LJ Li, H Su, Y Lim, L Fei-Fei
European conference on computer vision, 57-69, 2010
1772010
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Articles 1–20