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Saining Xie
Saining Xie
Research Scientist, Meta AI (FAIR); Assistant Professor, NYU
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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
74982017
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
40712020
Holistically-Nested Edge Detection
S Xie, Z Tu
International Conference on Computer Vision (ICCV), 2015, 1395-1403, 2015
29022015
Deeply-Supervised Nets
CY Lee*, S Xie*, P Gallagher, Z Zhang, Z Tu
Artificial Intelligence and Statistics (AISTATS), 2015, 2014
21612014
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
1034*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
4232019
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
4052022
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
2992019
An Empirical Study of Training Self-supervised Vision Transformers
X Chen*, S Xie*, K He
ICCV 2021, 2021
2982021
Attentional ShapeContextNet for Point Cloud Recognition
S Xie, S Liu, Z Chen, Z Tu
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
2262018
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
2192022
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
1992014
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
1692020
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
1522020
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
742019
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
702022
Graph Structure of Neural Networks
J You, J Leskovec, K He, S Xie
International Conference on Machine Learning, 10881-10891, 2020
702020
Combining Factorization Model and Additive Forest for Collaborative Followee Recommendation
T Chen, L Tang, Q Liu, D Yang, S Xie, X Cao, C Wu, E Yao, Z Liu, Z Jiang, ...
KDD CUP, 2012, 2012
582012
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
J Hou, B Graham, M Nießner, S Xie
CVPR 2021, 2021
482021
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
47*2021
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