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Computer Science

D-Index
73
Citations
561859
World Ranking
1529
National Ranking
795

Overview

Kaiming He is a researcher primarily affiliated with Facebook in the United States. Their work centers on the field of computer science, with a specific focus on computer vision and pattern recognition. They have contributed extensively to the advancement of artificial intelligence and related subfields, including electrical and electronic engineering, automotive engineering, and information systems.

The scientist's research topics cover a range of advanced areas within machine learning and neural networks. Their main fields of study include:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Advanced Memory and Neural Computing
  • Machine Learning and Data Classification

Their publication record includes significant papers in well-known venues, reflecting their ongoing contributions to both theoretical and applied aspects of vision and learning systems. Notable recent papers include:

  • "Improved Baselines with Momentum Contrastive Learning," 2020, arXiv (Cornell University)
  • "An Empirical Study of Training Self-Supervised Vision Transformers," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Exploring Simple Siamese Representation Learning," 2020, arXiv (Cornell University)
  • "Masked Autoencoders Are Scalable Vision Learners," 2021, arXiv (Cornell University)
  • "Masked Autoencoders As Spatiotemporal Learners," 2022, arXiv (Cornell University)

Frequent publication venues for Kaiming He include:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Small
  • The Journal of Supercomputing
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The scientist has collaborated with several researchers repeatedly. Their frequent coauthors are:

  • Ross Girshick
  • Saining Xie
  • Yanghao Li
  • Xinlei Chen
  • Piotr Dollár

Best Publications

  • Deep Residual Learning for Image Recognition

    Kaiming He;Xiangyu Zhang;Shaoqing Ren;Jian Sun

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

    Shaoqing Ren;Kaiming He;Ross Girshick;Jian Sun

  • Mask R-CNN

    Kaiming He;Georgia Gkioxari;Piotr Dollar;Ross Girshick

  • Feature Pyramid Networks for Object Detection

    Tsung-Yi Lin;Piotr Dollar;Ross Girshick;Kaiming He

  • Focal Loss for Dense Object Detection

    Tsung-Yi Lin;Priya Goyal;Ross Girshick;Kaiming He

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

    Kaiming He;Xiangyu Zhang;Shaoqing Ren;Jian Sun

  • Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

    Kaiming He;Xiangyu Zhang;Shaoqing Ren;Jian Sun

  • Momentum Contrast for Unsupervised Visual Representation Learning

    Kaiming He;Haoqi Fan;Yuxin Wu;Saining Xie

  • Aggregated Residual Transformations for Deep Neural Networks

    Saining Xie;Ross Girshick;Piotr Dollar;Zhuowen Tu

  • Identity Mappings in Deep Residual Networks

    Kaiming He;Xiangyu Zhang;Shaoqing Ren;Jian Sun

  • Non-local Neural Networks

    Xiaolong Wang;Ross Girshick;Abhinav Gupta;Kaiming He

  • Image Super-Resolution Using Deep Convolutional Networks

    Chao Dong;Chen Change Loy;Kaiming He;Xiaoou Tang

  • Focal Loss for Dense Object Detection

    Tsung-Yi Lin;Priya Goyal;Ross Girshick;Kaiming He

  • Single Image Haze Removal Using Dark Channel Prior

    Kaiming He;Jian Sun;Xiaoou Tang

  • Single image haze removal using dark channel prior

    Kaiming He;Jian Sun;Xiaoou Tang

  • Guided image filtering

    Kaiming He;Jian Sun;Xiaoou Tang

  • R-FCN: Object Detection via Region-based Fully Convolutional Networks

    Jifeng Dai;Yi Li;Kaiming He;Jian Sun

  • Guided Image Filtering

    Kaiming He;Jian Sun;Xiaoou Tang

  • Learning a Deep Convolutional Network for Image Super-Resolution

    Chao Dong;Chen Change Loy;Kaiming He;Xiaoou Tang

  • Mask R-CNN

    Kaiming He;Georgia Gkioxari;Piotr Dollar;Ross Girshick

Frequent Co-Authors

Jian Sun
Jian Sun Megvii
Ross Girshick
Ross Girshick Facebook (United States)
Piotr Dollar
Piotr Dollar Facebook (United States)
Jifeng Dai
Jifeng Dai Tsinghua University
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Christoph Feichtenhofer
Christoph Feichtenhofer Meta Platforms, Inc.
Xiaolong Wang
Xiaolong Wang University of California, San Diego
Tsung-Yi Lin
Tsung-Yi Lin Nvidia (United States)
Laurens van der Maaten
Laurens van der Maaten Facebook (United States)

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