| Aggregated Residual Transformations for Deep Neural Networks S Xie, R Girshick, P Dollár, Z Tu, K He Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 9186 | 2017 |
| Momentum contrast for unsupervised visual representation learning K He, H Fan, Y Wu, S Xie, R Girshick Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 6416 | 2020 |
| Holistically-Nested Edge Detection S Xie, Z Tu International Conference on Computer Vision (ICCV), 2015, 1395-1403, 2015 | 3291 | 2015 |
| Deeply-Supervised Nets CY Lee*, S Xie*, P Gallagher, Z Zhang, Z Tu Artificial Intelligence and Statistics (AISTATS), 2015, 2014 | 2395 | 2014 |
| Masked autoencoders are scalable vision learners K He, X Chen, S Xie, Y Li, P Dollár, R Girshick Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 1452 | 2022 |
| Rethinking Spatiotemporal Feature Learning: Speed-accuracy Trade-offs in Video Classification S Xie, C Sun, J Huang, Z Tu, K Murphy Proceedings of the European conference on computer vision (ECCV), 305-321, 2018 | 1289* | 2018 |
| A convnet for the 2020s Z Liu, H Mao, CY Wu, C Feichtenhofer, T Darrell, S Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 960 | 2022 |
| Decoupling Representation and Classifier for Long-tailed Recognition B Kang, S Xie, M Rohrbach, Z Yan, A Gordo, J Feng, Y Kalantidis ICLR 2020, 2019 | 681 | 2019 |
| An Empirical Study of Training Self-supervised Vision Transformers X Chen*, S Xie*, K He ICCV 2021, 2021 | 668 | 2021 |
| Exploring Randomly Wired Neural Networks for Image Recognition S Xie, A Kirillov, R Girshick, K He Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 341 | 2019 |
| Attentional ShapeContextNet for Point Cloud Recognition S Xie, S Liu, Z Chen, Z Tu Computer Vision and Pattern Recognition (CVPR), 2018, 2018 | 279 | 2018 |
| PointContrast: Unsupervised pre-training for 3d point cloud understanding S Xie, J Gu, D Guo, CR Qi, L Guibas, O Litany European Conference on Computer Vision, 574-591, 2020 | 260 | 2020 |
| Fbnetv2: Differentiable neural architecture search for spatial and channel dimensions A Wan, X Dai, P Zhang, Z He, Y Tian, S Xie, B Wu, M Yu, T Xu, K Chen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 228 | 2020 |
| Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification S Xie, T Yang, X Wang, Y Lin Computer Vision and Pattern Recognition (CVPR), 2015, 2014 | 212 | 2014 |
| Masked feature prediction for self-supervised visual pre-training C Wei, H Fan, S Xie, CY Wu, A Yuille, C Feichtenhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 200 | 2022 |
| Slip: Self-supervision meets language-image pre-training N Mu, A Kirillov, D Wagner, S Xie Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 111 | 2022 |
| Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts J Hou, B Graham, M Nießner, S Xie CVPR 2021, 2021 | 106 | 2021 |
| On network design spaces for visual recognition I Radosavovic, J Johnson, S Xie, WY Lo, P Dollár Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 103 | 2019 |
| Graph Structure of Neural Networks J You, J Leskovec, K He, S Xie International Conference on Machine Learning, 10881-10891, 2020 | 94 | 2020 |
| Are labels necessary for neural architecture search? C Liu, P Dollár, K He, R Girshick, A Yuille, S Xie Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 68 | 2020 |
Zhuowen TuProfessor, Cognitive Science, Computer Science&Engineering, UC San Diego在 ucsd.edu 的电子邮件经过验证
