Kaiming He
68 papers · 2013–2026 · 6 venues · across top CS/AI venues
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Achievements
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(24)
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(10)
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(2)
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Keyword Pioneer
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(3)
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(5)
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Research topics
Deep Learning
(42)
Computer Vision
(37)
Machine Learning
(35)
Architectures
(24)
Analysis
(20)
Learning Types Β· Deep Learning
(20)
Processing
(18)
Learning Types Β· Machine Learning
(17)
Artificial Intelligence
(13)
Core Methods
(12)
Core AI
(11)
Optimization & Theory
(11)
Models
(9)
Techniques
(9)
Application Areas
(8)
Keywords
convolutional neural network
(12)
object detection
(9)
semantic segmentation
(9)
image generation
(7)
instance segmentation
(6)
image classification
(6)
self-supervised learning
(6)
representation learning
(5)
vision transformer
(4)
diffusion model
(4)
vector quantization
(4)
feature extraction
(4)
unsupervised learning
(4)
transfer learning
(4)
masked autoencoder
(3)
contrastive learning
(3)
neural network optimization
(3)
image recognition
(3)
generative model
(3)
image retrieval
(2)
Papers
ARC Is a Vision Problem!
CVPR 2026
Back to Basics: Let Denoising Generative Models Denoise
CVPR 2026
Bidirectional Normalizing Flow: From Data to Noise and Back
CVPR 2026
Improved Mean Flows: On the Challenges of Fastforward Generative Models
CVPR 2026
In Pursuit of Pixel Supervision for Visual Pre-training
CVPR 2026
A Decade's Battle on Dataset Bias: Are We There Yet?
ICLR 2025
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
ICLR 2025
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
ICLR 2025
Highly Compressed Tokenizer Can Generate Without Training
ICML 2025
Is Noise Conditioning Necessary for Denoising Generative Models?
ICML 2025
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes
ICLR 2025
Transformers without Normalization
CVPR 2025
Autoregressive Image Generation without Vector Quantization
NeurIPS 2024
Physically Compatible 3D Object Modeling from a Single Image
NeurIPS 2024
Return of Unconditional Generation: A Self-supervised Representation Generation Method
NeurIPS 2024
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
NeurIPS 2024
Scaling Language-Image Pre-Training via Masking
CVPR 2023
Exploring Plain Vision Transformer Backbones for Object Detection
ECCV 2022
Masked Autoencoders Are Scalable Vision Learners
CVPR 2022
Masked Autoencoders As Spatiotemporal Learners
NeurIPS 2022
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
CVPR 2021
An Empirical Study of Training Self-Supervised Vision Transformers
ICCV 2021
Exploring Simple Siamese Representation Learning
CVPR 2021
A Multigrid Method for Efficiently Training Video Models
CVPR 2020
Are Labels Necessary for Neural Architecture Search?
ECCV 2020
Designing Network Design Spaces
CVPR 2020
Graph Structure of Neural Networks
ICML 2020
Momentum Contrast for Unsupervised Visual Representation Learning
CVPR 2020
PointRend: Image Segmentation As Rendering
CVPR 2020
Deep Hough Voting for 3D Object Detection in Point Clouds
ICCV 2019
Exploring Randomly Wired Neural Networks for Image Recognition
ICCV 2019
Feature Denoising for Improving Adversarial Robustness
CVPR 2019
Long-Term Feature Banks for Detailed Video Understanding
CVPR 2019
Panoptic Feature Pyramid Networks
CVPR 2019
Panoptic Segmentation
CVPR 2019
Rethinking ImageNet Pre-Training
ICCV 2019
SlowFast Networks for Video Recognition
ICCV 2019
TensorMask: A Foundation for Dense Object Segmentation
ICCV 2019
Data Distillation: Towards Omni-Supervised Learning
CVPR 2018
Detecting and Recognizing Human-Object Interactions
CVPR 2018
Exploring the Limits of Weakly Supervised Pretraining
ECCV 2018
GLoMo: Unsupervised Learning of Transferable Relational Graphs
NeurIPS 2018
Group Normalization
ECCV 2018
Learning to Segment Every Thing
CVPR 2018
Non-Local Neural Networks
CVPR 2018
Aggregated Residual Transformations for Deep Neural Networks
CVPR 2017
Feature Pyramid Networks for Object Detection
CVPR 2017
Focal Loss for Dense Object Detection
ICCV 2017
Mask R-CNN
ICCV 2017
Transitive Invariance for Self-Supervised Visual Representation Learning
ICCV 2017
Deep Residual Learning for Image Recognition
CVPR 2016
Instance-Aware Semantic Segmentation via Multi-Task Network Cascades
CVPR 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
NeurIPS 2016
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
CVPR 2016
A Geodesic-Preserving Method for Image Warping
CVPR 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
ICCV 2015
Convolutional Feature Masking for Joint Object and Stuff Segmentation
CVPR 2015
Convolutional Neural Networks at Constrained Time Cost
CVPR 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
ICCV 2015
Efficient and Accurate Approximations of Nonlinear Convolutional Networks
CVPR 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
NeurIPS 2015
Sparse Projections for High-Dimensional Binary Codes
CVPR 2015
Product Sparse Coding
CVPR 2014
Constant Time Weighted Median Filtering for Stereo Matching and Beyond
ICCV 2013
Content-Aware Rotation
ICCV 2013
Joint Inverted Indexing
ICCV 2013
K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes
CVPR 2013
Optimized Product Quantization for Approximate Nearest Neighbor Search
CVPR 2013