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Kaiming He

Published 2026-10-27

Kaiming He has 125 works and 591,105 citations. Last known institutional associations: Google DeepMind (United Kingdom); Massachusetts Institute of Technology. Research topics include Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Advanced Image and Video Retrieval Techniques, Generative Adversarial Networks and Image Synthesis, Visual Attention and Saliency Detection. These are bibliographic associations, not verified current employment or an award designation.
125 works591,105 citationsh-index 80

OpenAlex profile · ORCID

Selected research works

Up to 100 selected research works. Source updated 2026-10-27T19:03:24+00:00.

  1. Deep Residual Learning for Image Recognition · 2016 · 235,078 citations
  2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks · 2016 · 70,746 citations
  3. Feature Pyramid Networks for Object Detection · 2017 · 30,871 citations
  4. Focal Loss for Dense Object Detection · 2017 · 30,337 citations
  5. Mask R-CNN · 2017 · 29,106 citations
  6. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification · 2015 · 19,731 citations
  7. Momentum Contrast for Unsupervised Visual Representation Learning · 2020 · 13,330 citations
  8. Aggregated Residual Transformations for Deep Neural Networks · 2017 · 12,326 citations
  9. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition · 2015 · 11,966 citations
  10. Non-local Neural Networks · 2018 · 11,579 citations
  11. Identity Mappings in Deep Residual Networks · 2016 · 10,660 citations
  12. Image Super-Resolution Using Deep Convolutional Networks · 2015 · 10,080 citations
  13. Focal Loss for Dense Object Detection · 2018 · 9,539 citations
  14. Masked Autoencoders Are Scalable Vision Learners · 2022 · 8,450 citations
  15. Single Image Haze Removal Using Dark Channel Prior · 2010 · 7,587 citations
  16. Learning a Deep Convolutional Network for Image Super-Resolution · 2014 · 5,838 citations
  17. Guided Image Filtering · 2012 · 5,472 citations
  18. R-FCN: Object Detection via Region-based Fully Convolutional Networks · 2016 · 5,135 citations
  19. Deep Residual Learning for Image Recognition · 2015 · 4,194 citations
  20. SlowFast Networks for Video Recognition · 2019 · 4,000 citations
  21. Exploring Simple Siamese Representation Learning · 2021 · 3,721 citations
  22. Group Normalization · 2018 · 3,597 citations
  23. Mask R-CNN · 2018 · 3,458 citations
  24. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition · 2014 · 3,034 citations
  25. Single image haze removal using dark channel prior · 2009 · 2,417 citations
  26. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour · 2017 · 2,294 citations
  27. Improved Baselines with Momentum Contrastive Learning · 2020 · 2,167 citations
  28. Designing Network Design Spaces · 2020 · 2,081 citations
  29. Panoptic Segmentation · 2019 · 1,648 citations
  30. An Empirical Study of Training Self-Supervised Vision Transformers · 2021 · 1,645 citations
  31. Guided Image Filtering · 2010 · 1,566 citations
  32. Convolutional neural networks at constrained time cost · 2015 · 1,559 citations
  33. Panoptic Feature Pyramid Networks · 2019 · 1,457 citations
  34. Instance-Aware Semantic Segmentation via Multi-task Network Cascades · 2016 · 1,273 citations
  35. Mask R-CNN · 2017 · 1,254 citations
  36. Deep Hough Voting for 3D Object Detection in Point Clouds · 2019 · 1,243 citations
  37. PointRend: Image Segmentation As Rendering · 2020 · 1,237 citations
  38. Focal Loss for Dense Object Detection · 2017 · 1,226 citations
  39. Exploring the Limits of Weakly Supervised Pretraining · 2018 · 1,222 citations
  40. Rethinking ImageNet Pre-Training · 2019 · 1,138 citations
  41. ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation · 2016 · 1,128 citations
  42. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation · 2015 · 1,117 citations
  43. Feature Denoising for Improving Adversarial Robustness · 2019 · 938 citations
  44. Exploring Plain Vision Transformer Backbones for Object Detection · 2022 · 889 citations
  45. Is Faster R-CNN Doing Well for Pedestrian Detection? · 2016 · 852 citations
  46. Accelerating Very Deep Convolutional Networks for Classification and Detection · 2015 · 836 citations
  47. Detecting and Recognizing Human-Object Interactions · 2018 · 626 citations
  48. Object Detection Networks on Convolutional Feature Maps · 2016 · 454 citations
  49. Long-Term Feature Banks for Detailed Video Understanding · 2019 · 451 citations
  50. Data Distillation: Towards Omni-Supervised Learning · 2018 · 431 citations