| Mitigating adversarial effects through randomization C Xie, J Wang, Z Zhang, Z Ren, A Yuille International Conference on Learning Representations, 2018 | 944 | 2018 |
| Adversarial Examples for Semantic Segmentation and Object Detection C Xie*, J Wang*, Z Zhang*, Y Zhou, L Xie, A Yuille Proceedings of the IEEE International Conference on Computer Vision, 2017 | 850 | 2017 |
| Improving transferability of adversarial examples with input diversity C Xie, Z Zhang, Y Zhou, S Bai, J Wang, Z Ren, AL Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 723 | 2019 |
| Adversarial attacks and defences competition A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ... The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018 | 279 | 2018 |
| Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training H Zhang, J Wang Advances in Neural Information Processing Systems, 1829-1839, 2019 | 209 | 2019 |
| Bilateral adversarial training: Towards fast training of more robust models against adversarial attacks J Wang, H Zhang Proceedings of the IEEE International Conference on Computer Vision, 6629-6638, 2019 | 113 | 2019 |
| Semantic part segmentation using compositional model combining shape and appearance J Wang, AL Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015 | 109 | 2015 |
| Towards adversarially robust object detection H Zhang, J Wang Proceedings of the IEEE International Conference on Computer Vision, 421-430, 2019 | 98 | 2019 |
| Compositional Generalization for Primitive Substitutions Y Li, L Zhao, J Wang, J Hestness arXiv preprint arXiv:1910.02612, 2019 | 71 | 2019 |
| Unsupervised learning of object semantic parts from internal states of CNNs by population encoding J Wang, Z Zhang, C Xie, V Premachandran, A Yuille arXiv preprint arXiv:1511.06855, 2015 | 58* | 2015 |
| DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion Z Zhang*, C Xie*, J Wang*, L Xie, AL Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 47* | 2018 |
| Enhancing cross-task black-box transferability of adversarial examples with dispersion reduction Y Lu, Y Jia, J Wang, B Li, W Chai, L Carin, S Velipasalar Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020 | 44 | 2020 |
| Visual concepts and compositional voting J Wang, Z Zhang, C Xie, Y Zhou, V Premachandran, J Zhu, X Lingxi, ... Annals of Mathematical Sciences and Applications 2 (3), 4, 2018 | 43 | 2018 |
| Detecting semantic parts on partially occluded objects J Wang*, C Xie*, Z Zhang*, J Zhu, L Xie, A Yuille British Machine Vision Conference, 2017 | 36 | 2017 |
| Joint Adversarial Training: Incorporating both Spatial and Pixel Attacks H Zhang, J Wang arXiv preprint arXiv:1907.10737, 2019 | 5 | 2019 |
| Modeling Objects and Parts by Compositional Relations J Wang University of California, Los Angeles, 2017 | | 2017 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
