| Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille IEEE transactions on pattern analysis and machine intelligence 40 (4), 834-848, 2017 | 25406* | 2017 |
| Transunet: Transformers make strong encoders for medical image segmentation J Chen, Y Lu, Q Yu, X Luo, E Adeli, Y Wang, L Lu, AL Yuille, Y Zhou arXiv preprint arXiv:2102.04306, 2021 | 4822 | 2021 |
| Feature extraction from faces using deformable templates AL Yuille, PW Hallinan, DS Cohen International journal of computer vision 8, 99-111, 1992 | 3188 | 1992 |
| Region competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation SC Zhu, A Yuille IEEE transactions on pattern analysis and machine intelligence 18 (9), 884-900, 1996 | 3162 | 1996 |
| Progressive neural architecture search C Liu, B Zoph, M Neumann, J Shlens, W Hua, LJ Li, L Fei-Fei, A Yuille, ... Proceedings of the European conference on computer vision (ECCV), 19-34, 2018 | 2448 | 2018 |
| The role of context for object detection and semantic segmentation in the wild R Mottaghi, X Chen, X Liu, NG Cho, SW Lee, S Fidler, R Urtasun, A Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 1747 | 2014 |
| Attention to scale: Scale-aware semantic image segmentation LC Chen, Y Yang, J Wang, W Xu, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1694 | 2016 |
| The secrets of salient object segmentation Y Li, X Hou, C Koch, JM Rehg, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 1649 | 2014 |
| Object perception as Bayesian inference D Kersten, P Mamassian, A Yuille Annu. Rev. Psychol. 55 (1), 271-304, 2004 | 1647 | 2004 |
| Deep captioning with multimodal recurrent neural networks (m-rnn) J Mao arXiv preprint arXiv:1412.6632, 2014 | 1590 | 2014 |
| Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation G Papandreou, LC Chen, KP Murphy, AL Yuille Proceedings of the IEEE international conference on computer vision, 1742-1750, 2015 | 1576 | 2015 |
| The concave-convex procedure AL Yuille, A Rangarajan Neural computation 15 (4), 915-936, 2003 | 1461 | 2003 |
| Generation and comprehension of unambiguous object descriptions J Mao, J Huang, A Toshev, O Camburu, AL Yuille, K Murphy Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1421 | 2016 |
| 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 | 1326 | 2019 |
| Mitigating adversarial effects through randomization C Xie, J Wang, Z Zhang, Z Ren, A Yuille arXiv preprint arXiv:1711.01991, 2017 | 1301 | 2017 |
| Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation C Liu, LC Chen, F Schroff, H Adam, W Hua, AL Yuille, L Fei-Fei Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1235 | 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 | 1169 | 2017 |
| Genetic cnn L Xie, A Yuille Proceedings of the IEEE international conference on computer vision, 1379-1388, 2017 | 1129 | 2017 |
| Vision as Bayesian inference: analysis by synthesis? A Yuille, D Kersten Trends in cognitive sciences 10 (7), 301-308, 2006 | 1105 | 2006 |
| Feature denoising for improving adversarial robustness C Xie, Y Wu, L Maaten, AL Yuille, K He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1058 | 2019 |
Liang-Chieh ChenResearch Scientist, TikTok, LA在 cs.ucla.edu 的电子邮件经过验证
