Saining Xie
Saining Xie
Assistant Professor at the Courant Institute, New York University
Verified email at - Homepage
Cited by
Cited by
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
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
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
A ConvNet for the 2020s
Z Liu, H Mao, CY Wu, C Feichtenhofer, T Darrell, S Xie
CVPR 2022, 11976-11986, 2022
Holistically-Nested Edge Detection
S Xie, Z Tu
International Conference on Computer Vision (ICCV), 2015, 1395-1403, 2015
Deeply-Supervised Nets
CY Lee*, S Xie*, P Gallagher, Z Zhang, Z Tu
Artificial Intelligence and Statistics (AISTATS), 2015, 2014
An Empirical Study of Training Self-supervised Vision Transformers
X Chen*, S Xie*, K He
ICCV 2021, 2021
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
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
Scalable Diffusion Models with Transformers
W Peebles, S Xie
ICCV 2023, 2023
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
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
ConvNeXt v2: Co-designing and scaling convnets with masked autoencoders
S Woo, S Debnath, R Hu, X Chen, Z Liu, IS Kweon, S Xie
CVPR 2023, 2023
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
Attentional ShapeContextNet for Point Cloud Recognition
S Xie, S Liu, Z Chen, Z Tu
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
SLIP: Self-supervision meets language-image pre-training
N Mu, A Kirillov, D Wagner, S Xie
ECCV 2022, 2022
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
Rethinking spatiotemporal feature learning for video understanding
S Xie, C Sun, J Huang, Z Tu, K Murphy
arXiv preprint arXiv:1712.04851 1 (2), 5, 2017
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
J Hou, B Graham, M Nießner, S Xie
CVPR 2021, 2021
Exploring balanced feature spaces for representation learning
B Kang, Y Li, S Xie, Z Yuan, J Feng
International Conference on Learning Representations, 2020
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