| Are transformers more robust than cnns? Y Bai, J Mei, AL Yuille, C Xie Advances in neural information processing systems (NIPS) 34, 26831-26843, 2021 | 264 | 2021 |
| Atomnas: Fine-grained end-to-end neural architecture search J Mei, Y Li, X Lian, X Jin, L Yang, A Yuille, J Yang International Conference on Learning Representations (ICLR), 2019 | 139 | 2019 |
| Shape-texture debiased neural network training Y Li, Q Yu, M Tan, J Mei, P Tang, W Shen, A Yuille, C Xie International Conference on Learning Representations (ICLR), 2020 | 110 | 2020 |
| Neural architecture search for lightweight non-local networks Y Li, X Jin, J Mei, X Lian, L Yang, C Xie, Q Yu, Y Zhou, S Bai, AL Yuille Computer Vision and Pattern Recognition (CVPR), 10297-10306, 2020 | 66 | 2020 |
| Scene text script identification with convolutional recurrent neural networks J Mei, L Dai, B Shi, X Bai 2016 23rd international conference on pattern recognition (ICPR), 4053-4058, 2016 | 51 | 2016 |
| Waymo Open Dataset: Panoramic Video Panoptic Segmentation J Mei, AZ Zhu, X Yan, H Yan, S Qiao, Y Zhu, LC Chen, H Kretzschmar, ... European Conference on Computer Vision (ECCV), 2022 | 32 | 2022 |
| 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation Y Zhang, P Ji, A Wang, J Mei, A Kortylewski, A Yuille Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 21 | 2023 |
| Swinmm: masked multi-view with swin transformers for 3d medical image segmentation Y Wang, Z Li, J Mei, Z Wei, L Liu, C Wang, S Sang, AL Yuille, C Xie, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 19 | 2023 |
| 3d transunet: Advancing medical image segmentation through vision transformers J Chen, J Mei, X Li, Y Lu, Q Yu, Q Wei, X Luo, Y Xie, E Adeli, Y Wang, ... arXiv preprint arXiv:2310.07781, 2023 | 15 | 2023 |
| Bnet: Batch normalization with enhanced linear transformation Y Xu, L Xie, C Xie, W Dai, J Mei, S Qiao, W Shen, H Xiong, A Yuille IEEE transactions on pattern analysis and machine intelligence 45 (7), 9225-9232, 2023 | 12* | 2023 |
| Fast AdvProp J Mei, Y Han, Y Bai, Y Zhang, Y Li, X Li, A Yuille, C Xie International Conference on Learning Representations (ICLR), 2022 | 10 | 2022 |
| Learning to refine 3D human pose sequences J Mei, X Chen, C Wang, A Yuille, X Lan, W Zeng 2019 International Conference on 3D Vision (3DV), 358-366, 2019 | 10 | 2019 |
| Online dictionary learning for approximate archetypal analysis J Mei, C Wang, W Zeng Proceedings of the European Conference on Computer Vision (ECCV), 486-501, 2018 | 9 | 2018 |
| Tuning LayerNorm in Attention: Towards efficient multi-modal llm finetuning B Zhao, H Tu, C Wei, J Mei, C Xie arXiv preprint arXiv:2312.11420, 2023 | 8 | 2023 |
| Sclip: Rethinking self-attention for dense vision-language inference F Wang, J Mei, A Yuille arXiv preprint arXiv:2312.01597, 2023 | 8 | 2023 |
| Cakes: Channel-wise automatic kernel shrinking for efficient 3d network Q Yu, Y Li, J Mei, Y Zhou, AL Yuille AAAI Conference on Artificial Intelligence (AAAI), 2020 | 5 | 2020 |
| Mamba-r: Vision mamba also needs registers F Wang, J Wang, S Ren, G Wei, J Mei, W Shao, Y Zhou, A Yuille, C Xie arXiv preprint arXiv:2405.14858, 2024 | 2 | 2024 |
| Superpixel Transformers for Efficient Semantic Segmentation AZ Zhu, J Mei, S Qiao, H Yan, Y Zhu, LC Chen, H Kretzschmar International Conference on Intelligent Robots and Systems (IROS), 2023 | 2 | 2023 |
| 3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge S Yang, X Li, J Mei, J Chen, C Xie, Y Zhou arXiv preprint arXiv:2403.15735, 2024 | 1 | 2024 |
| SPFormer: Enhancing Vision Transformer with Superpixel Representation J Mei, LC Chen, A Yuille, C Xie arXiv preprint arXiv:2401.02931, 2024 | 1 | 2024 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
