| Mitigating adversarial effects through randomization C Xie, J Wang, Z Zhang, Z Ren, A Yuille International Conference on Learning Representations 2018, 2017 | 1198 | 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/CVF conference on computer vision and pattern …, 2019 | 1147 | 2019 |
| 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, 1369-1378, 2017 | 1082 | 2017 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 888 | 2023 |
| Deep co-training for semi-supervised image recognition S Qiao, W Shen, Z Zhang, B Wang, A Yuille Proceedings of the european conference on computer vision (eccv), 135-152, 2018 | 497 | 2018 |
| Technical report on the cleverhans v2. 1.0 adversarial examples library N Papernot, F Faghri, N Carlini, I Goodfellow, R Feinman, A Kurakin, ... arXiv preprint arXiv:1610.00768, 2016 | 409 | 2016 |
| 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 | 368 | 2018 |
| Single-shot object detection with enriched semantics Z Zhang, S Qiao, C Xie, W Shen, B Wang, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 250 | 2018 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 141 | 2024 |
| Learning transferable adversarial examples via ghost networks Y Li, S Bai, Y Zhou, C Xie, Z Zhang, A Yuille Proceedings of the AAAI conference on artificial intelligence 34 (07), 11458 …, 2020 | 131 | 2020 |
| Noise2music: Text-conditioned music generation with diffusion models Q Huang, DS Park, T Wang, TI Denk, A Ly, N Chen, Z Zhang, Z Zhang, ... arXiv preprint arXiv:2302.03917, 2023 | 107 | 2023 |
| Composition of plaque and saliva following a sucrose challenge and use of an a-tricalcium-phosphate-containing chewing gum GL Vogel, Z Zhang, CM Carey, A Ly, LC Chow, HM Proskin Journal of dental research 77 (3), 518-524, 1998 | 73 | 1998 |
| Combining compositional models and deep networks for robust object classification under occlusion A Kortylewski, Q Liu, H Wang, Z Zhang, A Yuille Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 72 | 2020 |
| Stinet: Spatio-temporal-interactive network for pedestrian detection and trajectory prediction Z Zhang, J Gao, J Mao, Y Liu, D Anguelov, C Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 71 | 2020 |
| Deepvoting: A robust and explainable deep network 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 …, 2018 | 61* | 2018 |
| 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 | 61* | 2015 |
| Hyper-pairing network for multi-phase pancreatic ductal adenocarcinoma segmentation Y Zhou, Y Li, Z Zhang, Y Wang, A Wang, EK Fishman, AL Yuille, S Park Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 60 | 2019 |
| Robust face detection via learning small faces on hard images Z Zhang, W Shen, S Qiao, Y Wang, B Wang, A Yuille Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 55 | 2020 |
| Visual concepts and compositional voting J Wang, Z Zhang, C Xie, Y Zhou, V Premachandran, J Zhu, L Xie, A Yuille Annals of Mathematical Sciences and Applications, 2017 | 52 | 2017 |
| Detecting semantic parts on partially occluded objects J Wang, C Xie, Z Zhang, J Zhu, L Xie, A Yuille British Machine Vision Conference 2017, 2017 | 44 | 2017 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
