Follow
Saining Xie
Saining Xie
Assistant Professor at the Courant Institute, New York University
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
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
83272017
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
52242020
Holistically-Nested Edge Detection
S Xie, Z Tu
International Conference on Computer Vision (ICCV), 2015, 1395-1403, 2015
30902015
Deeply-Supervised Nets
CY Lee*, S Xie*, P Gallagher, Z Zhang, Z Tu
Artificial Intelligence and Statistics (AISTATS), 2015, 2014
22712014
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
1144*2018
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
8342022
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
5572019
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
5232022
An Empirical Study of Training Self-supervised Vision Transformers
X Chen*, S Xie*, K He
ICCV 2021, 2021
4562021
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
3172019
Attentional ShapeContextNet for Point Cloud Recognition
S Xie, S Liu, Z Chen, Z Tu
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
2522018
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
2092014
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
2062020
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
2032020
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
1322022
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
852019
Graph Structure of Neural Networks
J You, J Leskovec, K He, S Xie
International Conference on Machine Learning, 10881-10891, 2020
802020
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
J Hou, B Graham, M Nießner, S Xie
CVPR 2021, 2021
792021
Slip: Self-supervision meets language-image pre-training
N Mu, A Kirillov, D Wagner, S Xie
European Conference on Computer Vision, 529-544, 2022
622022
Sample-efficient neural architecture search by learning actions for monte carlo tree search
L Wang, S Xie, T Li, R Fonseca, Y Tian
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
57*2021
The system can't perform the operation now. Try again later.
Articles 1–20