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Kaiming He

  1. Deep Residual Learning for Image Recognition
    2015/12/10 by Kaiming He, Xiangyu Zhang, He, Kaiming +5 · 3 voices · 4443 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
  2. Transformers without Normalization
    2025/03/13 by Jiachen Zhu, Xinlei Chen, Zhu, Jiachen +7 · 20 voices · 23 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #cs.AI #cs.CL #cs.CV #cs.LG
  3. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
    2015/02/06 by Kaiming He, Xiangyu Zhang, He, Kaiming +5 · 3 voices · 317 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Visual Attention and Saliency Detection #cs.AI #cs.CV #cs.LG
  4. Mask R-CNN
    2017/03/20 by Kaiming He, Georgia Gkioxari, He, Kaiming +5 · 2 voices · 407 citations
    Computer Science · #Advanced Neural Network Applications #Human Pose and Action Recognition #Face recognition and analysis
  5. Group Normalization
    2018/03/22 by Yuxin Wu, Kaiming He, Wu, Yuxin +1 · 2 voices · 114 citations
    #cs.CV #cs.LG
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal\n Networks
    2015/06/04 by Shaoqing Ren, Ren, Shaoqing, Kaiming He +5 · 1148 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  7. Masked Autoencoders Are Scalable Vision Learners
    2021/11/11 by Kaiming He, Xinlei Chen, He, Kaiming +9 · 4 voices · 788 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #cs.CV
  8. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
    2016/06/06 by Shaoqing Ren, Kaiming He, Ross Girshick +1 · 694 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Video Surveillance and Tracking Methods
  9. Momentum Contrast for Unsupervised Visual Representation Learning
    2019/11/13 by Kaiming He, Haoqi Fan, He, Kaiming +7 · 519 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Neural Network Applications
  10. Identity Mappings in Deep Residual Networks
    2016/03/16 by Kaiming He, He, Kaiming, Xiangyu Zhang +5 · 2 voices · 87 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
  11. Feature Pyramid Networks for Object Detection
    2016/12/09 by Tsung-Yi Lin, Lin, Tsung-Yi, Piotr Dollár +9 · 328 citations
    Computer Science · #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
  12. Momentum Contrast for Unsupervised Visual Representation Learning
    2020/06/01 by Kaiming He, Haoqi Fan, Yuxin Wu +2 · 515 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  13. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
    2017/06/08 by Priya Goyal, Piotr Dollár, Goyal, Priya +15 · 420 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #AI in cancer detection
  14. Exploring Plain Vision Transformer Backbones for Object Detection
    2022/03/30 by Yanghao Li, Li, Yanghao, Hanzi Mao +5 · 1 voice · 62 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
  15. Exploring Simple Siamese Representation Learning
    2020/11/20 by Xinlei Chen, Chen, Xinlei, Kaiming He +1 · 181 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  16. Improved Baselines with Momentum Contrastive Learning
    2020/03/09 by Xinlei Chen, Haoqi Fan, Chen, Xinlei +5 · 226 citations
    Computer Science · #Multimodal Machine Learning Applications #Speech Recognition and Synthesis #Domain Adaptation and Few-Shot Learning
  17. Image Super-Resolution Using Deep Convolutional Networks
    2016/02/01 by Chao Dong, Chen Change Loy, Kaiming He +1 · 96 citations
  18. Exploring Simple Siamese Representation Learning
    2021/06/01 by Xinlei Chen, Kaiming He · 128 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  19. Autoregressive Image Generation without Vector Quantization
    2024/06/17 by Tianhong Li, Li, Tianhong, Yonglong Tian +7 · 161 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Image Retrieval and Classification Techniques
  20. Mean Flows for One-step Generative Modeling
    2025/05/19 by Zhengyang Geng, Geng, Zhengyang, Mingyang Deng +7 · 3 voices · 150 citations
    Computer Science · Engineering · Physics and Astronomy · #3D Shape Modeling and Analysis #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #cs.CV #cs.LG
  21. Masked Autoencoders As Spatiotemporal Learners
    2022/05/18 by Christoph Feichtenhofer, Haoqi Fan, Feichtenhofer, Christoph +5 · 31 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Face recognition and analysis #Human Pose and Action Recognition
  22. Scaling Language-Image Pre-training via Masking
    2022/12/01 by Yanghao Li, Li, Yanghao, Haoqi Fan +7 · 29 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
  23. Exploring Randomly Wired Neural Networks for Image Recognition
    2019/04/02 by Saining Xie, Xie, Saining, Alexander Kirillov +5 · 1 voice · 6 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
  24. Detecting and Recognizing Human-Object Interactions
    2017/04/24 by Georgia Gkioxari, Ross Girshick, Gkioxari, Georgia +5 · 16 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  25. Feature Denoising for Improving Adversarial Robustness
    2018/12/09 by Cihang Xie, Xie, Cihang, Yuxin Wu +7 · 16 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Bacillus and Francisella bacterial research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  26. Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
    2024/10/17 by Lijie Fan, Tianhong Li, Fan, Lijie +15 · 39 citations
    Computer Science · Arts and Humanities · #Computer Graphics and Visualization Techniques #Digital Humanities and Scholarship #Artificial Intelligence in Games
  27. Return of Unconditional Generation: A Self-supervised Representation Generation Method
    2023/12/06 by Tianhong Li, Li, Tianhong, Dina Katabi +3 · 25 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image and Video Retrieval Techniques #Video Analysis and Summarization
  28. Instance-aware Semantic Segmentation via Multi-task Network Cascades
    2015/12/14 by Jifeng Dai, Dai, Jifeng, Kaiming He +3 · 20 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  29. ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
    2016/04/18 by Di Lin, Jifeng Dai, Lin, Di +7 · 7 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  30. Deconstructing Denoising Diffusion Models for Self-Supervised Learning
    2024/01/25 by Xinlei Chen, Zhuang Liu, Chen, Xinlei +5 · 15 citations
    Computer Science · #Image and Signal Denoising Methods
  31. Back to Basics: Let Denoising Generative Models Denoise
    2025/11/17 by Tianhong Li, Li, Tianhong, Kaiming He +1 · 4 voices
    Computer Science · Medicine · #Generative Adversarial Networks and Image Synthesis #Advanced Neuroimaging Techniques and Applications #Stochastic Gradient Optimization Techniques
  32. Physically Compatible 3D Object Modeling from a Single Image
    2024/05/30 by Minghao Guo, Bohan Wang, Guo, Minghao +15 · 11 citations
    Computer Science · Earth and Planetary Sciences · #3D Surveying and Cultural Heritage #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction
  33. Data Distillation: Towards Omni-Supervised Learning
    2017/12/12 by Ilija Radosavovic, Piotr Dollár, Radosavovic, Ilija +7 · 5 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  34. Fractal Generative Models
    2025/02/24 by Tianhong Li, Li, Tianhong, Qinyi Sun +5 · 16 citations
    Economics, Econometrics and Finance · Computer Science · #Complex Systems and Time Series Analysis #Neural Networks and Applications
  35. Diffuse and Disperse: Image Generation with Representation Regularization
    2025/06/10 by Runqian Wang, Kaiming He, Wang, Runqian +1 · 27 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG)
  36. Fast Guided Filter
    2015/05/05 by Kaiming He, Jian Sun, He, Kaiming +1 · 3 citations
    Engineering · #Tribology and Lubrication Engineering #Flow Measurement and Analysis #Advanced Numerical Analysis Techniques
  37. TensorMask: A Foundation for Dense Object Segmentation
    2019/03/28 by Xinlei Chen, Chen, Xinlei, Ross Girshick +5 · 5 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  38. Convolutional Neural Networks at Constrained Time Cost
    2014/12/04 by Kaiming He, Jian Sun, He, Kaiming +1 · 3 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Infrastructure Maintenance and Monitoring
  39. Generative Modeling via Drifting
    2026/02/04 by Mingyang Deng, He Li, Tianhong Li +2 · 8 voices · 1 citation
    #cs.LG #cs.CV
  40. TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes
    2024/05/30 by Minghao Guo, Bohan Wang, Guo, Minghao +5 · 6 citations
    Computer Science · Earth and Planetary Sciences · Engineering · #Computational Geometry and Mesh Generation #Geological Modeling and Analysis #Manufacturing Process and Optimization
  41. A Multigrid Method for Efficiently Training Video Models
    2019/12/02 by Chao-Yuan Wu, Ross Girshick, Wu, Chao-Yuan +7 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition
  42. Are Labels Necessary for Neural Architecture Search?
    2020/03/26 by Chenxi Liu, Piotr Dollár, Liu, Chenxi +9 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  43. Transitive Invariance for Self-supervised Visual Representation Learning
    2017/08/09 by Xiaolong Wang, Wang, Xiaolong, Kaiming He +3 · 4 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques
  44. Improved Mean Flows: On the Challenges of Fastforward Generative Models
    2025/12/01 by Zhengyang Geng, Geng, Zhengyang, Yiyang Lu +9 · 2 voices · 7 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
  45. GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations
    2018/06/14 by Zhilin Yang, Yang, Zhilin, Zhao, Jake +10 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  46. Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning
    2024/05/25 by Linsen Li, Li, Linsen, Pratyush Anand +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)