Bias-based Universal Adversarial Patch Attack for Automatic Check-out A Liu, J Wang, X Liu, B Cao, C Zhang, H Yu Proceedings of the European Conference on Computer Vision, 0 | 123* | |
Interpreting and improving adversarial robustness of deep neural networks with neuron sensitivity C Zhang, A Liu, X Liu, Y Xu, H Yu, Y Ma, T Li IEEE Transactions on Image Processing 30, 1291-1304, 2020 | 94 | 2020 |
Training robust deep neural networks via adversarial noise propagation A Liu, X Liu, C Zhang, H Yu, Q Liu, J He IEEE Transactions on Image Processing, 2019 | 94 | 2019 |
Delving deep into the generalization of vision transformers under distribution shifts C Zhang, M Zhang, S Zhang, D Jin, Q Zhou, Z Cai, H Zhao, X Liu, Z Liu Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2022 | 83 | 2022 |
Understanding adversarial robustness via critical attacking route T Li, A Liu, X Liu, Y Xu, C Zhang, X Xie Information Sciences 547, 568-578, 2021 | 24 | 2021 |
Progressive diversified augmentation for general robustness of dnns: A unified approach H Yu, A Liu, G Li, J Yang, C Zhang IEEE Transactions on Image Processing 30, 8955-8967, 2021 | 16* | 2021 |
Towards overcoming false positives in visual relationship detection D Jin, X Ma, C Zhang, Y Zhou, J Tao, M Zhang, H Zhao, S Yi, Z Li, X Liu, ... arXiv preprint arXiv:2012.12510, 2020 | 7 | 2020 |
Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization C Zhang, M Zhang, Z Teng, J Li, X Zhu, L Lu, Z Liu, A Sun arXiv preprint arXiv:2401.08232, 2024 | | 2024 |