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About

Kaiming He is a Chinese computer scientist who primarily researches computer vision and deep learning. He is an associate professor at Massachusetts Institute of Technology and works part-time as a Distinguished Scientist at Google DeepMind. He is known as one of the creators of the residual neural network (ResNet) architecture.

Most cited

158 papers in total

2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

Deep Residual Learning for Image Recognition

229,475 citationsRead

2016 · IEEE Transactions on Pattern Analysis and Machine Intelligence

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

56,068 citationsRead

2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

Feature Pyramid Networks for Object Detection

30,051 citationsRead

2017 · IEEE International Conference on Computer Vision (ICCV)

Mask R-CNN

29,858 citationsRead

2017 · IEEE International Conference on Computer Vision (ICCV)

Focal Loss for Dense Object Detection

27,641 citationsRead

2015 · IEEE International Conference on Computer Vision (ICCV)

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

19,064 citationsRead