Look closer to segment better: Boundary patch refinement for instance segmentation C Tang, H Chen, X Li, J Li, Z Zhang, X Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 80 | 2021 |
Fooling thermal infrared pedestrian detectors in real world using small bulbs X Zhu, X Li, J Li, Z Wang, X Hu Proceedings of the AAAI conference on artificial intelligence 35 (4), 3616-3624, 2021 | 58 | 2021 |
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks X Li, Z Wang, B Zhang, F Sun, X Hu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 15 | 2023 |
Rethinking natural adversarial examples for classification models X Li, J Li, T Dai, J Shi, J Zhu, X Hu arXiv preprint arXiv:2102.11731, 2021 | 10 | 2021 |
Improving image segmentation with boundary patch refinement X Hu, C Tang, H Chen, X Li, J Li, Z Zhang International Journal of Computer Vision 130 (11), 2571-2589, 2022 | 5 | 2022 |
Robust logo detection in e-commerce images by data augmentation H Chen, X Li, Z Wang, X Hu Proceedings of the 29th ACM International Conference on Multimedia, 4789-4793, 2021 | 5 | 2021 |
Language-Driven Anchors for Zero-Shot Adversarial Robustness X Li, W Zhang, Y Liu, Z Hu, B Zhang, X Hu arXiv preprint arXiv:2301.13096, 2023 | 4* | 2023 |
On the privacy effect of data enhancement via the lens of memorization X Li, Q Li, Z Hu, X Hu IEEE Transactions on Information Forensics and Security, 2022 | 3 | 2022 |
On the Importance of Backbone to the Adversarial Robustness of Object Detectors X Li, H Chen, X Hu arXiv preprint arXiv:2305.17438, 2023 | 1 | 2023 |
Hiding from thermal imaging pedestrian detectors in the physical world X Zhu, X Li, J Li, Z Wang, X Hu Neurocomputing 564, 126923, 2024 | | 2024 |