Kaiming He
Kaiming He
Research Scientist, Facebook AI Research (FAIR)
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
Deep Residual Learning for Image Recognition
K He, X Zhang, S Ren, J Sun
Computer Vision and Pattern Recognition (CVPR), 2016, 2016
849782016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
S Ren, K He, R Girshick, J Sun
Neural Information Processing Systems (NIPS), 2015, 2015
321022015
Mask R-CNN
K He, G Gkioxari, P Dollár, R Girshick
International Conference on Computer Vision (ICCV), 2017, 2017
133152017
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
K He, X Zhang, S Ren, J Sun
International Conference on Computer Vision (ICCV), 2015, 2015
125872015
Focal Loss for Dense Object Detection
TY Lin, P Goyal, R Girshick, K He, P Dollár
International Conference on Computer Vision (ICCV), 2017, 2017
83372017
Feature Pyramid Networks for Object Detection
TY Lin, P Dollár, R Girshick, K He, B Hariharan, S Belongie
Computer Vision and Pattern Recognition (CVPR), 2017, 2017
80242017
Learning a Deep Convolutional Network for Image Super-Resolution
C Dong, CC Loy, K He, X Tang
European Conference on Computer Vision (ECCV), 2014, 2014
7405*2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
K He, X Zhang, S Ren, J Sun
European Conference on Computer Vision (ECCV), 2014, 2014
65022014
Identity Mappings in Deep Residual Networks
K He, X Zhang, S Ren, J Sun
European Conference on Computer Vision (ECCV), 2016, 2016
59832016
Guided Image Filtering
K He, J Sun, X Tang
European Conference on Computer Vision (ECCV), 2010, 2010
57612010
Single Image Haze Removal using Dark Channel Prior
K He, J Sun, X Tang
Computer Vision and Pattern Recognition (CVPR), 2009, 2009
53272009
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
47392017
R-FCN: Object Detection via Region-based Fully Convolutional Networks
J Dai, Y Li, K He, J Sun
Neural Information Processing Systems (NIPS), 2016, 2016
40932016
Non-local Neural Networks
X Wang, R Girshick, A Gupta, K He
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
33232018
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
P Goyal, P Dollár, R Girshick, P Noordhuis, L Wesolowski, A Kyrola, ...
arXiv preprint arXiv:1706.02677, 2017
18002017
Group Normalization
Y Wu, K He
European Conference on Computer Vision (ECCV), 2018, 2018
13972018
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
13752020
Instance-aware Semantic Segmentation via Multi-task Network Cascades
J Dai, K He, J Sun
Computer Vision and Pattern Recognition (CVPR), 2016, 2016
11112016
Convolutional Neural Networks at Constrained Time Cost
K He, J Sun
Computer Vision and Pattern Recognition (CVPR), 2015, 2015
9752015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
J Dai, K He, J Sun
International Conference on Computer Vision (ICCV), 2015, 2015
7122015
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Articles 1–20