| Universal perturbation attack against image retrieval J Li, R Ji, H Liu, X Hong, Y Gao, Q Tian Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 107 | 2019 |
| Universal adversarial perturbation via prior driven uncertainty approximation H Liu, R Ji, J Li, B Zhang, Y Gao, Y Wu, F Huang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 99 | 2019 |
| Projection & Probability-Driven Black-Box Attack J Li, R Ji, H Liu, J Liu, B Zhong, C Deng, Q Tian CVPR, 2020 | 46 | 2020 |
| Black-box dissector: Towards erasing-based hard-label model stealing attack Y Wang, J Li, H Liu, Y Wang, Y Wu, F Huang, R Ji European conference on computer vision, 192-208, 2022 | 26 | 2022 |
| Font generation based on least squares conditional generative adversarial nets X Lin, J Li, H Zeng, R Ji Multimedia Tools and Applications 78, 783-797, 2019 | 24 | 2019 |
| Learning to Learn Transferable Attack S Fang, J Li, X Lin, R Ji AAAI, 2022 | 17 | 2022 |
| Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models J Li, R Ji, P Chen, B Zhang, X Hong, R Zhang, S Li, J Li, F Huang, Y Wu ICCV, 2021 | 17 | 2021 |
| Learning Neural Bag-of-Matrix-Summarization with Riemannian Network H Liu, J Li, Y Wu, R Ji AAAI, 2019 | 4 | 2019 |
| HODN: Disentangling Human-Object Feature for HOI Detection S Fang, Z Lin, K Yan, J Li, X Lin, R Ji IEEE Transactions on Multimedia, 2023 | 1 | 2023 |
| Improving Human-Object Interaction Detection via Virtual Image Learning S Fang, S Liu, J Li, G Jiang, X Lin, R Ji ACM MM, 2023 | | 2023 |
Rongrong Ji 纪荣嵘Professor, Xiamen UniversityVerified email at xmu.edu.cn
