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| End-to-end reconstruction-classification learning for face forgery detection J Cao, C Ma, T Yao, S Chen, S Ding, X Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 190 | 2022 |
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| Detecting camouflaged object in frequency domain Y Zhong, B Li, L Tang, S Kuang, S Wu, S Ding Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 157 | 2022 |
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| Deciphering and modulating energetics of solvation structure enables aggressive high-voltage chemistry of Li metal batteries Z Wu, R Li, S Zhang, T Deng, H Zhang, R Zhang, J Liu, S Ding, L Fan, ... Chem 9 (3), 650-664, 2023 | 87 | 2023 |
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| Delving into data: Effectively substitute training for black-box attack W Wang, B Yin, T Yao, L Zhang, Y Fu, S Ding, J Li, F Huang, X Xue Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 76 | 2021 |
| Towards practical certifiable patch defense with vision transformer Z Chen, B Li, J Xu, S Wu, S Ding, W Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 72 | 2022 |
| Exploring frequency adversarial attacks for face forgery detection S Jia, C Ma, T Yao, B Yin, S Ding, X Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 71 | 2022 |
| Towards efficient data free black-box adversarial attack J Zhang, B Li, J Xu, S Wu, S Ding, L Zhang, C Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 63 | 2022 |
