Kaiming He

Google DeepMind (United Kingdom) (GB)

Research Areas

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H-index

Publications

125

Citations

598615

i10-index

Publications & Citations Over Time

Top Cited Publications

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Title	Year	Citations
Deep Residual Learning for Image Recognition	2016	237350
Faster R-CNN: Towards Real-Time Object Detection w...	2016	71442
Feature Pyramid Networks for Object Detection	2017	31088
Focal Loss for Dense Object Detection	2017	30581
Mask R-CNN	2017	29366
Delving Deep into Rectifiers: Surpassing Human-Lev...	2015	20006
Momentum Contrast for Unsupervised Visual Represen...	2020	13462
Aggregated Residual Transformations for Deep Neura...	2017	12465
Spatial Pyramid Pooling in Deep Convolutional Netw...	2015	12024
Non-local Neural Networks	2018	11689

Publications

1.
Deep Residual Learning for Image Recognition
Year: 2016Citations: 237350DOI: 10.1109/cvpr.2016.90
2.
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Year: 2016Citations: 71442DOI: 10.1109/tpami.2016.2577031
3.
Feature Pyramid Networks for Object Detection
Year: 2017Citations: 31088DOI: 10.1109/cvpr.2017.106
4.
Focal Loss for Dense Object Detection
Year: 2017Citations: 30581DOI: 10.1109/iccv.2017.324
5.
Mask R-CNN
Year: 2017Citations: 29366DOI: 10.1109/iccv.2017.322
6.
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Year: 2015Citations: 20006DOI: 10.1109/iccv.2015.123
7.
Momentum Contrast for Unsupervised Visual Representation Learning
Year: 2020Citations: 13462DOI: 10.1109/cvpr42600.2020.00975
8.
Aggregated Residual Transformations for Deep Neural Networks
Year: 2017Citations: 12465DOI: 10.1109/cvpr.2017.634
9.
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Year: 2015Citations: 12024DOI: 10.1109/tpami.2015.2389824
10.
Non-local Neural Networks
Year: 2018Citations: 11689DOI: 10.1109/cvpr.2018.00813

About Kaiming He

Kaiming He is a researcher with 125 publications and 598615 citations. They are affiliated with Google DeepMind (United Kingdom). Their research focuses on . With an h-index of 80, they are among the top researchers in their field.

Citation Distribution

Distribution of citations across publications

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Citations per publication by year