Lijun Li
Lijun Li
Verified email at buaa.edu.cn
Title
Cited by
Cited by
Year
Nattack: Learning the distributions of adversarial examples for an improved black-box attack on deep neural networks
Y Li, L Li, L Wang, T Zhang, B Gong
arXiv preprint arXiv:1905.00441, 2019
562019
End-to-end video captioning with multitask reinforcement learning
L Li, B Gong
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 339-348, 2019
232019
Action recognition with spatio-temporal augmented descriptor and fusion method
L Li, S Dai
Multimedia Tools and Applications 76 (12), 13953-13969, 2017
112017
Action recognition based on local fisher discriminant analysis and mix encoding
L Li, S Dai
2016 International Conference on Virtual Reality and Visualization (ICVRV …, 2016
42016
Action Recognition with deep network features and dimension reduction.
L Li, S Dai
KSII Transactions on Internet & Information Systems 13 (2), 2019
22019
Bayesian neural network approach to hand gesture recognition system
L Li, S Dai
Proceedings of 2014 IEEE Chinese Guidance, Navigation and Control Conference …, 2014
12014
NATTACK: A STRONG AND UNIVERSAL GAUSSIAN BLACK-BOX ADVERSARIAL ATTACK
Y Li, L Li, L Wang, T Zhang, B Gong
2018
Action recognition with spatio-temporal augmented descriptor and fusion method (vol 76, pg 13953, 2017)
L Li, S Dai
MULTIMEDIA TOOLS AND APPLICATIONS 76 (12), 13971-13971, 2017
2017
Supplementary Materials for NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Y Li, L Li, L Wang, T Zhang, B Gong
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Articles 1–9