| 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 | 417 | 2017 |
| Mitigating adversarial effects through randomization C Xie, J Wang, Z Zhang, Z Ren, A Yuille arXiv preprint arXiv:1711.01991, 2017 | 415 | 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 | 142 | 2019 |
| 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 | 139 | 2016 |
| 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 | 129 | 2018 |
| 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 | 129 | 2018 |
| 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 | 105 | 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 | 44* | 2015 |
| 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 | 28* | 2018 |
| Detecting semantic parts on partially occluded objects J Wang, C Xie, Z Zhang, J Zhu, L Xie, A Yuille arXiv preprint arXiv:1707.07819, 2017 | 26 | 2017 |
| Visual concepts and compositional voting J Wang, Z Zhang, C Xie, Y Zhou, V Premachandran, J Zhu, L Xie, A Yuille arXiv preprint arXiv:1711.04451, 2017 | 21 | 2017 |
| 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 | 19 | 2020 |
| 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 | 15 | 2020 |
| 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 | 15 | 2020 |
| 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 International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 14 | 2019 |
| 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 | 10 | 2020 |
| Multi-scale attentional network for multi-focal segmentation of active bleed after pelvic fractures Y Zhou, D Dreizin, Y Li, Z Zhang, Y Wang, A Yuille International Workshop on Machine Learning in Medical Imaging, 461-469, 2019 | 8 | 2019 |
| Gradually updated neural networks for large-scale image recognition S Qiao, Z Zhang, W Shen, B Wang, A Yuille International Conference on Machine Learning, 4188-4197, 2018 | 6 | 2018 |
| Compositional Convolutional Networks For Robust Object Classification under Occlusion. A Kortylewski, Q Liu, H Wang, Z Zhang, AL Yuille | 3 | 2019 |
| Lesion detection by efficiently bridging 3D context Z Zhang, Y Zhou, W Shen, E Fishman, A Yuille International Workshop on Machine Learning in Medical Imaging, 470-478, 2019 | 2 | 2019 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
