| 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 | 137 | 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 | 111 | 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 | 104 | 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 | 87 | 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 | 46 | 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 | 35 | 2021 |
| 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 | 32 | 2020 |
| 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 | 13 | 2022 |
| Masked autoencoders enable efficient knowledge distillers Y Bai, Z Wang, J Xiao, C Wei, H Wang, A Yuille, Y Zhou, C Xie arXiv preprint arXiv:2208.12256, 2022 | 8 | 2022 |
| Can CNNs Be More Robust Than Transformers? Z Wang, Y Bai, Y Zhou, C Xie arXiv preprint arXiv:2206.03452, 2022 | 8 | 2022 |
| Coke: Localized contrastive learning for robust keypoint detection Y Bai, A Wang, A Kortylewski, A Yuille arXiv preprint arXiv:2009.14115, 2020 | 7 | 2020 |
| 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 | 7 | 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 | 6 | 2022 |
| Transfg: A transformer architecture for fine-grained recognition. arXiv 2021 J He, JN Chen, S Liu, A Kortylewski, C Yang, Y Bai, C Wang, A Yuille arXiv preprint arXiv:2103.07976, 0 | 6 | |
| 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 | 3 | 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 | | 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 | | 2022 |
| CateNorm: Categorical Normalization for Robust Medical Image Segmentation J Xiao, L Yu, Z Zhou, Y Bai, L Xing, A Yuille, Y Zhou Domain Adaptation and Representation Transfer: 4th MICCAI Workshop, DART …, 2022 | | 2022 |
| Unsupervised Part Discovery via Feature Alignment M Guo, Y Bai, Z Zhang, A Kortylewski, A Yuille arXiv preprint arXiv:2012.00313, 2020 | | 2020 |
| Focalizing Regions of Biomarker-Relevance Facilitates Biomarker Prediction on Histopathological Images J Gan, H Wang, H Yu, Z He, W Zhang, K Ma, L Zhu, Y Bai, Z Zhou, ... | | |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
