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Lijun Li
Lijun Li
Adresse e-mail validée de buaa.edu.cn
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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
International Conference on Machine Learning, 3866-3876, 2019
2582019
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
732019
Action recognition with spatio-temporal augmented descriptor and fusion method
L Li, S Dai
Multimedia Tools and Applications 76, 13953-13969, 2017
122017
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
52016
Renderih: A large-scale synthetic dataset for 3d interacting hand pose estimation
L Li, L Tian, X Zhang, Q Wang, B Zhang, L Bo, M Liu, C Chen
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
Action Recognition with deep network features and dimension reduction
L Li, S Dai
KSII Transactions on Internet and Information Systems (TIIS) 13 (2), 832-854, 2019
42019
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
L Li, B Dong, R Wang, X Hu, W Zuo, D Lin, Y Qiao, J Shao
arXiv preprint arXiv:2402.05044, 2024
12024
PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety
Z Zhang, Y Zhang, L Li, H Gao, L Wang, H Lu, F Zhao, Y Qiao, J Shao
arXiv preprint arXiv:2401.11880, 2024
12024
Diffhand: End-to-end hand mesh reconstruction via diffusion models
L Li, L Zhuo, B Zhang, L Bo, C Chen
arXiv preprint arXiv:2305.13705, 2023
12023
Nattack: A strong and universal gaussian black-box adversarial attack
Y Li, L Li, L Wang, T Zhang, B Gong
12018
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
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities
C Lu, C Qian, G Zheng, H Fan, H Gao, J Zhang, J Shao, J Deng, J Fu, ...
arXiv preprint arXiv:2401.15071, 2024
2024
One-stage Action Detection Transformer
L Li, L Zhuo, B Zhang
arXiv preprint arXiv:2206.10080, 2022
2022
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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