KH

Kaiming He

0000-0001-7318-9658

cs.CVcs.LGcs.AIcs.CLcs.NEstat.MLcs.DCcs.GRcs.SINeural Networks, Computer

On Valency

published · living versions

Group Normalization

with Yuxin Wu

1 version

W_yw4ht3nhv1 · current

Feature Pyramid Networks for Object Detection

W_54uujxxkv1

Object Detection Networks on Convolutional Feature Maps

W_trhn2s23v1

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

W_xbsdm36xv1

Deep Residual Learning for Image Recognition

W_u8tsejq2v1

Preprints & journals

86 papers in the corpus · 2010–2026

VISTA: A Visual Harness for Reasoning in an Interactive World

Qiushi Han, Keya Hu, Linlu Qiu et al.

0 citations

2610.02200v12026arXiv

Video Generation Models are General-Purpose Vision Learners

Letian Wang, Chuhan Zhang, Rishabh Kabra et al.

0 citations

2607.09024v12026arXiv

Image Generators are Generalist Vision Learners

Valentin Gabeur, Shangbang Long, Songyou Peng et al.

0 citations

2604.20329v32026arXiv

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training

Haixu Wu, Minghao Guo, Zongyi Li et al.

1 citation

2602.20399v22026arXiv

Generative Modeling via Drifting

Mingyang Deng, He Li, Tianhong Li et al.

0 citations

2602.04770v22026arXiv

One-step Latent-free Image Generation with Pixel Mean Flows

Yiyang Lu, Susie Lu, Qiao Sun et al.

1 citation

2601.22158v32026arXiv

Bidirectional Normalizing Flow: From Data to Noise and Back

Yiyang Lu, Qiao Sun, Xianbang Wang et al.

0 citations

2512.10953v12025arXiv

Improved Mean Flows: On the Challenges of Fastforward Generative Models

Zhengyang Geng, Yiyang Lu, Zongze Wu et al.

0 citations

2512.02012v22025arXiv

ARC Is a Vision Problem!

Keya Hu, Ali Cy, Linlu Qiu et al.

0 citations

2511.14761v12025arXiv

Back to Basics: Let Denoising Generative Models Denoise

Tianhong Li, Kaiming He

4 citations

2511.13720v22025arXiv

Diffuse and Disperse: Image Generation with Representation Regularization

Runqian Wang, Kaiming He

0 citations

2506.09027v22025arXiv

Highly Compressed Tokenizer Can Generate Without Training

L. Lao Beyer, T. Li, X. Chen et al.

0 citations

2506.08257v12025arXiv

Mean Flows for One-step Generative Modeling

Zhengyang Geng, Mingyang Deng, Xingjian Bai et al.

36 citations

2505.13447v12025arXiv

Transformers without Normalization

Jiachen Zhu, Xinlei Chen, Kaiming He et al.

181 citations

2503.10622v22025arXiv

Denoising Hamiltonian Network for Physical Reasoning

Congyue Deng, Brandon Y. Feng, Cecilia Garraffo et al.

0 citations

2503.07596v12025arXiv

Fractal Generative Models

Tianhong Li, Qinyi Sun, Lijie Fan et al.

0 citations

2502.17437v22025arXiv

Is Noise Conditioning Necessary for Denoising Generative Models?

Qiao Sun, Zhicheng Jiang, Hanhong Zhao et al.

2 citations

2502.13129v22025Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Lijie Fan, Tianhong Li, Siyang Qin et al.

1 citation

2410.13863v12024arXiv

Autoregressive Image Generation without Vector Quantization

Tianhong Li, Yonglong Tian, He Li et al.

61 citations

2406.11838v32024arXiv

TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes

Minghao Guo, Bohan Wang, Kaiming He et al.

2 citations

2405.20283v42024arXiv

Physically Compatible 3D Object Modeling from a Single Image

Minghao Guo, Bohan Wang, Pingchuan Ma et al.

5 citations

2405.20510v32024arXiv

Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning

Linsen Li, Pratyush Anand, Kaiming He et al.

1 citation

2405.16380v12024arXiv

A Decade's Battle on Dataset Bias: Are We There Yet?

Zhuang Liu, Kaiming He

13 citations

2403.08632v22024arXiv

Deconstructing Denoising Diffusion Models for Self-Supervised Learning

Xinlei Chen, Zhuang Liu, Saining Xie et al.

20 citations

2401.14404v12024arXiv

Return of Unconditional Generation: A Self-supervised Representation Generation Method

Tianhong Li, Dina Katabi, Kaiming He

7 citations

2312.03701v42023arXiv

Scaling Language-Image Pre-training via Masking

Yanghao Li, Haoqi Fan, Ronghang Hu et al.

254 citations

2212.00794v22022arXiv

Masked Autoencoders As Spatiotemporal Learners

Christoph Feichtenhofer, Haoqi Fan, Yanghao Li et al.

343 citations

2205.09113v22022arXiv

Exploring Plain Vision Transformer Backbones for Object Detection

Yanghao Li, Hanzi Mao, Ross Girshick et al.

887 citations

2203.16527v22022arXiv

Benchmarking Detection Transfer Learning with Vision Transformers

Yanghao Li, Saining Xie, Xinlei Chen et al.

89 citations

2111.11429v12021arXiv

Masked Autoencoders Are Scalable Vision Learners

Kaiming He, Xinlei Chen, Saining Xie et al.

8,593 citations

2111.06377v32021arXiv

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

Christoph Feichtenhofer, Haoqi Fan, Bo Xiong et al.

222 citations

2104.14558v12021arXiv

An Empirical Study of Training Self-Supervised Vision Transformers

Xinlei Chen, Saining Xie, Kaiming He

1,644 citations

2104.02057v42021arXiv

Exploring Simple Siamese Representation Learning

Xinlei Chen, Kaiming He

4,017 citations

2011.10566v12020arXiv

Graph Structure of Neural Networks

Jiaxuan You, Jure Leskovec, Kaiming He et al.

91 citations

2007.06559v22020arXiv

Designing Network Design Spaces

Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick et al.

2,079 citations

2003.13678v12020arXiv

Are Labels Necessary for Neural Architecture Search?

Chenxi Liu, Piotr Doll'ar, Kaiming He et al.

71 citations

2003.12056v22020arXiv

Improved Baselines with Momentum Contrastive Learning

Xinlei Chen, Haoqi Fan, Ross Girshick et al.

2,167 citations

2003.04297v12020arXiv

PointRend: Image Segmentation as Rendering

Alexander Kirillov, Yuxin Wu, Kaiming He et al.

1,235 citations

1912.08193v22019arXiv

A Multigrid Method for Efficiently Training Video Models

Chao-Yuan Wu, Ross Girshick, Kaiming He et al.

88 citations

1912.00998v22019arXiv

Momentum Contrast for Unsupervised Visual Representation Learning

Kaiming He, Haoqi Fan, Yuxin Wu et al.

13,328 citations

1911.05722v32019arXiv

Deep Hough Voting for 3D Object Detection in Point Clouds

Charles R. Qi, Or Litany, Kaiming He et al.

1,241 citations

1904.09664v22019arXiv

Exploring Randomly Wired Neural Networks for Image Recognition

Saining Xie, Alexander Kirillov, Ross Girshick et al.

345 citations

1904.01569v22019arXiv

TensorMask: A Foundation for Dense Object Segmentation

Xinlei Chen, Ross Girshick, Kaiming He et al.

416 citations

1903.12174v22019arXiv

Panoptic Feature Pyramid Networks

Alexander Kirillov, Ross Girshick, Kaiming He et al.

49 citations

1901.02446v22019arXiv

Long-Term Feature Banks for Detailed Video Understanding

Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan et al.

451 citations

1812.05038v22018arXiv

SlowFast Networks for Video Recognition

Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik et al.

3,999 citations

1812.03982v32018arXiv

Feature Denoising for Improving Adversarial Robustness

Cihang Xie, Yuxin Wu, Laurens van der Maaten et al.

938 citations

1812.03411v22018arXiv

Rethinking ImageNet Pre-training

Kaiming He, Ross Girshick, Piotr Doll'ar

1,138 citations

1811.08883v12018arXiv

Focal Loss for Dense Object Detection.

Lin, Tsung-Yi, Goyal, Priya, Girshick, Ross et al.

10,622 citations

300406312022IEEE transactions on pattern analysis and machine intelligence. 2020;42(2):318-327

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations

Zhilin Yang, Jake Zhao, Bhuwan Dhingra et al.

29 citations

1806.05662v32018arXiv

Career total: 120 works. 86 are in this corpus.Showing the 50 most recent.

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120

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591K

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80

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