| Fixmatch: Simplifying semi-supervised learning with consistency and confidence K Sohn, D Berthelot, CL Li, Z Zhang, N Carlini, ED Cubuk, A Kurakin, ... Advances in Neural Information Processing Systems, 2020 | 3262 | 2020 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 830 | 2023 |
| fastMRI: An open dataset and benchmarks for accelerated MRI J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ... arXiv preprint arXiv:1811.08839, 2018 | 792 | 2018 |
| Learning to Prompt for Continual Learning Z Wang, Z Zhang, CY Lee, H Zhang, R Sun, X Ren, G Su, V Perot, J Dy, ... Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 484 | 2021 |
| Translating and segmenting multimodal medical volumes with cycle-and shape-consistency generative adversarial network Z Zhang, L Yang, Y Zheng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 474 | 2018 |
| A simple semi-supervised learning framework for object detection K Sohn, Z Zhang, CL Li, H Zhang, CY Lee, T Pfister arXiv preprint arXiv:2005.04757, 2020 | 472 | 2020 |
| Mdnet: A semantically and visually interpretable medical image diagnosis network Z Zhang, Y Xie, F Xing, M McGough, L Yang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 401 | 2017 |
| Photographic text-to-image synthesis with a hierarchically-nested adversarial network Z Zhang, Y Xie, L Yang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 367 | 2018 |
| fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ... Radiology: Artificial Intelligence 2 (1), e190007, 2020 | 320 | 2020 |
| PseudoSeg: Designing Pseudo Labels for Semantic Segmentation Y Zou, Z Zhang, H Zhang, CL Li, X Bian, JB Huang, T Pfister International Conference on Learning Representations, 2020 | 296 | 2020 |
| Consistency regularization for generative adversarial networks H Zhang, Z Zhang, A Odena, H Lee International Conference on Learning Representations, 2019 | 291 | 2019 |
| DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning Z Wang, Z Zhang, S Ebrahimi, R Sun, H Zhang, CY Lee, X Ren, G Su, ... European Conference on Computer Vision (ECCV), 2022 | 279 | 2022 |
| Pathologist-level interpretable whole-slide cancer diagnosis with deep learning Z Zhang, P Chen, M McGough, F Xing, C Wang, M Bui, Y Xie, M Sapkota, ... Nature Machine Intelligence 1 (6), 289, 2019 | 276 | 2019 |
| Nested Hierarchical Transformer: Towards Accurate, Data-Efficient andInterpretable Visual Understanding Z Zhang, H Zhang, L Zhao, T Chen, SO Arik, T Pfister Association for the Advancement of Artificial Intelligence (AAAI), 2021 | 218* | 2021 |
| Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost M Gao, Z Zhang, G Yu, SO Arik, LS Davis, T Pfister Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 185 | 2020 |
| Pancreas segmentation in MRI using graph-based decision fusion on convolutional neural networks J Cai, L Lu, Z Zhang, F Xing, L Yang, Q Yin International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 157 | 2016 |
| Image augmentations for gan training Z Zhao, Z Zhang, T Chen, S Singh, H Zhang arXiv preprint arXiv:2006.02595, 2020 | 145 | 2020 |
| Distilling Effective Supervision from Severe Label Noise Z Zhang, H Zhang, SO Arik, H Lee, T Pfister Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020 | 144 | 2020 |
| Improved consistency regularization for gans Z Zhao, S Singh, H Lee, Z Zhang, A Odena, H Zhang Proceedings of the AAAI Conference on Artificial Intelligence, 2020 | 142 | 2020 |
| Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition Z Zhang, A Romero, MJ Muckley, P Vincent, L Yang, M Drozdzal Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 127 | 2019 |
Tomas PfisterHead of AI Research @ Google Cloud在 google.com 的电子邮件经过验证
