| 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 | 5117 | 2021 |
| Conditional cyclegan for attribute guided face image generation Y Lu, YW Tai, CK Tang arXiv preprint arXiv:1705.09966 4, 2017 | 337 | 2017 |
| Attribute-guided face generation using conditional cyclegan Y Lu, YW Tai, CK Tang Proceedings of the European conference on computer vision (ECCV), 282-297, 2018 | 239 | 2018 |
| Clip-driven universal model for organ segmentation and tumor detection J Liu, Y Zhang, JN Chen, J Xiao, Y Lu, B A Landman, Y Yuan, A Yuille, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 182 | 2023 |
| Domain adaptive relational reasoning for 3d multi-organ segmentation S Fu, Y Lu, Y Wang, Y Zhou, W Shen, E Fishman, A Yuille Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 181 | 2020 |
| Image generation from sketch constraint using contextual gan Y Lu, S Wu, YW Tai, CK Tang Proceedings of the European conference on computer vision (ECCV), 205-220, 2018 | 180 | 2018 |
| Online video object detection using association LSTM Y Lu, C Lu, CK Tang Proceedings of the IEEE International Conference on Computer Vision, 2344-2352, 2017 | 166 | 2017 |
| 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 | 81 | 2021 |
| Integrating graph partitioning and matching for trajectory analysis in video surveillance L Lin, Y Lu, Y Pan, X Chen IEEE transactions on Image Processing 21 (12), 4844-4857, 2012 | 72 | 2012 |
| TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers J Chen, J Mei, X Li, Y Lu, Q Yu, Q Wei, X Luo, Y Xie, E Adeli, Y Wang, ... Medical Image Analysis 97, 103280, 2024 | 68 | 2024 |
| Squid: Deep feature in-painting for unsupervised anomaly detection T Xiang, Y Zhang, Y Lu, AL Yuille, C Zhang, W Cai, Z Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 61* | 2023 |
| Complexity-adaptive distance metric for object proposals generation Y Xiao, C Lu, E Tsougenis, Y Lu, CK Tang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 47 | 2015 |
| 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 | 46 | 2023 |
| 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 | 46 | 2020 |
| Beyond holistic object recognition: Enriching image understanding with part states C Lu, H Su, Y Li, Y Lu, L Yi, CK Tang, LJ Guibas Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 35 | 2018 |
| Towards a solid solution of real-time fire and flame detection B Jiang, Y Lu, X Li, L Lin Multimedia Tools and Applications 74 (3), 689-705, 2015 | 32 | 2015 |
| MT-TransUNet: Mediating multi-task tokens in transformers for skin lesion segmentation and classification J Chen, J Chen, Z Zhou, B Li, A Yuille, Y Lu arXiv preprint arXiv:2112.01767, 2021 | 23 | 2021 |
| Asap-net: Attention and structure aware point cloud sequence segmentation H Cao, Y Lu, C Lu, B Pang, G Liu, A Yuille arXiv preprint arXiv:2008.05149, 2020 | 23 | 2020 |
| Exploring negatives in contrastive learning for unpaired image-to-image translation Y Lin, S Zhang, T Chen, Y Lu, G Li, Y Shi Proceedings of the 30th ACM International Conference on Multimedia, 1186-1194, 2022 | 22 | 2022 |
| 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 | 21 | 2022 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
