| Transfg: A transformer architecture for fine-grained recognition J He, JN Chen, S Liu, A Kortylewski, C Yang, Y Bai, C Wang Proceedings of the AAAI conference on artificial intelligence 36 (1), 852-860, 2022 | 342 | 2022 |
| Are transformers more robust than cnns? Y Bai, J Mei, AL Yuille, C Xie Advances in neural information processing systems 34, 26831-26843, 2021 | 259 | 2021 |
| C2fnas: Coarse-to-fine neural architecture search for 3d medical image segmentation Q Yu, D Yang, H Roth, Y Bai, Y Zhang, AL Yuille, D Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 155 | 2020 |
| Clevr-ref+: Diagnosing visual reasoning with referring expressions R Liu, C Liu, Y Bai, AL Yuille Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 128 | 2019 |
| Mask guided matting via progressive refinement network Q Yu, J Zhang, H Zhang, Y Wang, Z Lin, N Xu, Y Bai, A Yuille Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 113 | 2021 |
| Glance-and-gaze vision transformer Q Yu, Y Xia, Y Bai, Y Lu, AL Yuille, W Shen Advances in Neural Information Processing Systems 34, 12992-13003, 2021 | 70 | 2021 |
| Point-level region contrast for object detection pre-training Y Bai, X Chen, A Kirillov, A Yuille, AC Berg Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 54 | 2022 |
| Sequential modeling enables scalable learning for large vision models Y Bai, X Geng, K Mangalam, A Bar, AL Yuille, T Darrell, J Malik, AA Efros Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 49 | 2024 |
| Delving into masked autoencoders for multi-label thorax disease classification J Xiao, Y Bai, A Yuille, Z Zhou Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 46 | 2023 |
| Can cnns be more robust than transformers? Z Wang, Y Bai, Y Zhou, C Xie arXiv preprint arXiv:2206.03452, 2022 | 46 | 2022 |
| Can temporal information help with contrastive self-supervised learning? Y Bai, H Fan, I Misra, G Venkatesh, Y Lu, Y Zhou, Q Yu, V Chandra, ... arXiv preprint arXiv:2011.13046, 2020 | 44 | 2020 |
| Masked autoencoders enable efficient knowledge distillers Y Bai, Z Wang, J Xiao, C Wei, H Wang, AL Yuille, Y Zhou, C Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
| Coke: Contrastive learning for robust keypoint detection Y Bai, A Wang, A Kortylewski, A Yuille Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 22 | 2023 |
| Making your first choice: To address cold start problem in vision active learning L Chen, Y Bai, S Huang, Y Lu, B Wen, AL Yuille, Z Zhou arXiv preprint arXiv:2210.02442, 2022 | 17 | 2022 |
| Semantic part detection via matching: Learning to generalize to novel viewpoints from limited training data Y Bai, Q Liu, L Xie, W Qiu, Y Zheng, AL Yuille Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 12 | 2019 |
| Fast advprop J Mei, Y Han, Y Bai, Y Zhang, Y Li, X Li, A Yuille, C Xie arXiv preprint arXiv:2204.09838, 2022 | 10 | 2022 |
| Making your first choice: to address cold start problem in medical active learning L Chen, Y Bai, S Huang, Y Lu, B Wen, A Yuille, Z Zhou Medical Imaging with Deep Learning, 496-525, 2024 | 8 | 2024 |
| Transfg: A transformer architecture for fine-grained recognition. arXiv 2021 J He, J Chen, S Liu, A Kortylewski, C Yang, Y Bai, C Wang, A Yuille arXiv preprint arXiv:2103.07976, 0 | 8 | |
| CateNorm: categorical normalization for robust medical image segmentation J Xiao, L Yu, Z Zhou, Y Bai, L Xing, A Yuille, Y Zhou MICCAI Workshop on Domain Adaptation and Representation Transfer, 129-146, 2022 | 6 | 2022 |
| Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search Q Liu, A Kortylewski, Y Bai, S Bai, A Yuille The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
