Прати
Saining Xie
Saining Xie
Assistant Professor at the Courant Institute, New York University
Верификована је имејл адреса на nyu.edu - Почетна страница
Наслов
Навело
Навело
Година
Momentum Contrast for Unsupervised Visual Representation Learning
K He, H Fan, Y Wu, S Xie, R Girshick
Computer Vision and Pattern Recognition (CVPR), 2020, 2020
147672020
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
142342017
Masked Autoencoders are Scalable Vision Learners
K He, X Chen, S Xie, Y Li, P Dollár, R Girshick
Computer Vision and Pattern Recognition (CVPR), 2022, 2022
87722022
A ConvNet for the 2020s
Z Liu, H Mao, CY Wu, C Feichtenhofer, T Darrell, S Xie
Computer Vision and Pattern Recognition (CVPR), 2022, 2022
72922022
Holistically-Nested Edge Detection
S Xie, Z Tu
International Conference on Computer Vision (ICCV), 2015, 2015
45522015
Deeply-Supervised Nets
CY Lee*, S Xie*, P Gallagher, Z Zhang, Z Tu
Artificial Intelligence and Statistics (AISTATS), 2015, 2014
29892014
An Empirical Study of Training Self-supervised Vision Transformers
X Chen*, S Xie*, K He
International Conference on Computer Vision (ICCV), 2021, 2021
20612021
Scalable Diffusion Models with Transformers
W Peebles, S Xie
International Conference on Computer Vision (ICCV), 2023, 2023
17642023
Rethinking Spatiotemporal Feature Learning: Speed-accuracy Trade-offs in Video Classification
S Xie, C Sun, J Huang, Z Tu, K Murphy
European Conference on Computer Vision (ECCV), 2018, 2018
17082018
Decoupling Representation and Classifier for Long-tailed Recognition
B Kang, S Xie, M Rohrbach, Z Yan, A Gordo, J Feng, Y Kalantidis
International Conference on Learning Representations (ICLR), 2020, 2019
15062019
ConvNeXt v2: Co-designing and scaling convnets with masked autoencoders
S Woo, S Debnath, R Hu, X Chen, Z Liu, IS Kweon, S Xie
Computer Vision and Pattern Recognition (CVPR), 2023, 2023
9272023
Masked Feature Prediction for Self-Supervised Visual Pre-training
C Wei, H Fan, S Xie, CY Wu, A Yuille, C Feichtenhofer
Computer Vision and Pattern Recognition (CVPR), 2022, 2022
7412022
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 (ECCV), 2020, 2020
6982020
SLIP: Self-Supervision meets Language-Image Pre-training
N Mu, A Kirillov, D Wagner, S Xie
European Conference on Computer Vision (ECCV), 2022, 2022
5142022
Exploring Randomly Wired Neural Networks for Image Recognition
S Xie, A Kirillov, R Girshick, K He
International Conference on Computer Vision (ICCV), 2019, 2019
4582019
Attentional ShapeContextNet for Point Cloud Recognition
S Xie, S Liu, Z Chen, Z Tu
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
4162018
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, ...
Computer Vision and Pattern Recognition (CVPR), 2020, 2020
3672020
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
J Hou, B Graham, M Nießner, S Xie
Computer Vision and Pattern Recognition (CVPR), 2021, 2021
3142021
Exploring balanced feature spaces for representation learning
B Kang, Y Li, S Xie, Z Yuan, J Feng
International Conference on Learning Representations (ICLR), 2020, 2020
3102020
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
2972017
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