Saining Xie
Saining Xie
Research Scientist, Facebook AI Research (FAIR)
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
Holistically-Nested Edge Detection
S Xie, Z Tu
International Conference on Computer Vision (ICCV), 2015, 1395-1403, 2015
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
Deeply-Supervised Nets
CY Lee*, S Xie*, P Gallagher, Z Zhang, Z Tu
Artificial Intelligence and Statistics (AISTATS), 2015, 2014
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
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
Decoupling representation and classifier for long-tailed recognition
B Kang, S Xie, M Rohrbach, Z Yan, A Gordo, J Feng, Y Kalantidis
arXiv preprint arXiv:1910.09217, 2019
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
Attentional ShapeContextNet for Point Cloud Recognition
S Xie, S Liu, Z Chen, Z Tu
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
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
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
An Empirical Study of Training Self-supervised Vision Transformers
X Chen*, S Xie*, K He
ICCV 2021, 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
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
Top-Down Learning for Structured Labeling with Convolutional Pseudoprior
S Xie, X Huang, Z Tu
European Conference on Computer Vision (ECCV), 2016, 2016
Graph structure of neural networks
J You, J Leskovec, K He, S Xie
International Conference on Machine Learning, 10881-10891, 2020
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
Multi-Task Co-Clustering via Nonnegative Matrix Factorization
S Xie, H Lu, Y He
International Conference on Pattern Recognition (ICPR), 2012, 2012
Are labels necessary for neural architecture search?
C Liu, P Dollár, K He, R Girshick, A Yuille, S Xie
European Conference on Computer Vision, 798-813, 2020
Pairwise Constrained Concept Factorization for Data Representation
Y He, H Lu, L Huang, S Xie
Neural Networks 52, 1-17, 2013
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