Kaiming He

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 98

Top Venues

CoRR

CVPR

ICCV

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Minghao Guo, Bohan Wang, Kaiming He, Wojciech Matusik
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes. CoRR (2024)
Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He
Deconstructing Denoising Diffusion Models for Self-Supervised Learning. CoRR (2024)
Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik
Physically Compatible 3D Object Modeling from a Single Image. CoRR (2024)
Zhuang Liu, Kaiming He
A Decade's Battle on Dataset Bias: Are We There Yet? CoRR (2024)
Linsen Li, Pratyush Anand, Kaiming He, Dirk R. Englund
Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning. CoRR (2024)
Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He
Autoregressive Image Generation without Vector Quantization. CoRR (2024)
Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He
Scaling Language-Image Pre-Training via Masking. CVPR (2023)
Tianhong Li, Dina Katabi, Kaiming He
Self-conditioned Image Generation via Generating Representations. CoRR (2023)
Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He
Scaling Language-Image Pre-training via Masking. CoRR (2022)
Yanghao Li, Hanzi Mao, Ross B. Girshick, Kaiming He
Exploring Plain Vision Transformer Backbones for Object Detection. ECCV (9) (2022)
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
Masked Autoencoders Are Scalable Vision Learners. CVPR (2022)
Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He
Masked Autoencoders As Spatiotemporal Learners. CoRR (2022)
Chen Lang, Wang Ze, Kaiming He, Shimin Sun
POI recommendation based on a multiple bipartite graph network model. J. Supercomput. 78 (7) (2022)
Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He
Masked Autoencoders As Spatiotemporal Learners. NeurIPS (2022)
Yanghao Li, Hanzi Mao, Ross B. Girshick, Kaiming He
Exploring Plain Vision Transformer Backbones for Object Detection. CoRR (2022)
Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick
Benchmarking Detection Transfer Learning with Vision Transformers. CoRR (2021)
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
Masked Autoencoders Are Scalable Vision Learners. CoRR (2021)
Xinlei Chen, Saining Xie, Kaiming He
An Empirical Study of Training Self-Supervised Vision Transformers. ICCV (2021)
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. CoRR (2021)
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. CVPR (2021)
Xinlei Chen, Kaiming He
Exploring Simple Siamese Representation Learning. CVPR (2021)
Xinlei Chen, Saining Xie, Kaiming He
An Empirical Study of Training Self-Supervised Vision Transformers. CoRR (2021)
Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
Are Labels Necessary for Neural Architecture Search? ECCV (4) (2020)
Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick
PointRend: Image Segmentation As Rendering. CVPR (2020)
Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár
Designing Network Design Spaces. CVPR (2020)
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
Graph Structure of Neural Networks. CoRR (2020)
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick
Momentum Contrast for Unsupervised Visual Representation Learning. CVPR (2020)
Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár
Designing Network Design Spaces. CoRR (2020)
Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
Are Labels Necessary for Neural Architecture Search? CoRR (2020)
Xinlei Chen, Kaiming He
Exploring Simple Siamese Representation Learning. CoRR (2020)
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
Focal Loss for Dense Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42 (2) (2020)
Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
A Multigrid Method for Efficiently Training Video Models. CVPR (2020)
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
Graph Structure of Neural Networks. ICML (2020)
Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick
Mask R-CNN. IEEE Trans. Pattern Anal. Mach. Intell. 42 (2) (2020)
Xinlei Chen, Haoqi Fan, Ross B. Girshick, Kaiming He
Improved Baselines with Momentum Contrastive Learning. CoRR (2020)
Yuxin Wu, Kaiming He
Group Normalization. Int. J. Comput. Vis. 128 (3) (2020)
Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He
Exploring Randomly Wired Neural Networks for Image Recognition. ICCV (2019)
Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár
TensorMask: A Foundation for Dense Object Segmentation. ICCV (2019)
Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He
Exploring Randomly Wired Neural Networks for Image Recognition. CoRR (2019)
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick
Momentum Contrast for Unsupervised Visual Representation Learning. CoRR (2019)
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He
SlowFast Networks for Video Recognition. ICCV (2019)
Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
Deep Hough Voting for 3D Object Detection in Point Clouds. ICCV (2019)
Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
Deep Hough Voting for 3D Object Detection in Point Clouds. CoRR (2019)
Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick
PointRend: Image Segmentation as Rendering. CoRR (2019)
Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár
Panoptic Feature Pyramid Networks. CoRR (2019)
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick
Long-Term Feature Banks for Detailed Video Understanding. CVPR (2019)
Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár
TensorMask: A Foundation for Dense Object Segmentation. CoRR (2019)
Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
A Multigrid Method for Efficiently Training Video Models. CoRR (2019)
Kaiming He, Ross B. Girshick, Piotr Dollár
Rethinking ImageNet Pre-Training. ICCV (2019)
Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár
Panoptic Feature Pyramid Networks. CVPR (2019)
Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár
Panoptic Segmentation. CVPR (2019)
Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He
Feature Denoising for Improving Adversarial Robustness. CVPR (2019)
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He
SlowFast Networks for Video Recognition. CoRR (2018)
Yuxin Wu, Kaiming He
Group Normalization. CoRR (2018)
Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He
Detecting and Recognizing Human-Object Interactions. CVPR (2018)
Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He
Feature Denoising for Improving Adversarial Robustness. CoRR (2018)
Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He
Non-Local Neural Networks. CVPR (2018)
Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
Exploring the Limits of Weakly Supervised Pretraining. ECCV (2) (2018)
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick
Learning to Segment Every Thing. CVPR (2018)
Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He
Data Distillation: Towards Omni-Supervised Learning. CVPR (2018)
Yuxin Wu, Kaiming He
Group Normalization. ECCV (13) (2018)
Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations. CoRR (2018)
Kaiming He, Ross B. Girshick, Piotr Dollár
Rethinking ImageNet Pre-training. CoRR (2018)
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick
Long-Term Feature Banks for Detailed Video Understanding. CoRR (2018)
Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
Exploring the Limits of Weakly Supervised Pretraining. CoRR (2018)
Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
GLoMo: Unsupervised Learning of Transferable Relational Graphs. NeurIPS (2018)
Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár
Panoptic Segmentation. CoRR (2018)
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
Focal Loss for Dense Object Detection. CoRR (2017)
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick
Learning to Segment Every Thing. CoRR (2017)
Xiaolong Wang, Kaiming He, Abhinav Gupta
Transitive Invariance for Self-supervised Visual Representation Learning. CoRR (2017)
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
Focal Loss for Dense Object Detection. ICCV (2017)
Shaoqing Ren, Kaiming He, Ross B. Girshick, Xiangyu Zhang, Jian Sun
Object Detection Networks on Convolutional Feature Maps. IEEE Trans. Pattern Anal. Mach. Intell. 39 (7) (2017)
Xiaolong Wang, Kaiming He, Abhinav Gupta
Transitive Invariance for Self-Supervised Visual Representation Learning. ICCV (2017)
Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour. CoRR (2017)
Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick
Mask R-CNN. CoRR (2017)
Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick
Mask R-CNN. ICCV (2017)
Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He
Non-local Neural Networks. CoRR (2017)
Shaoqing Ren, Kaiming He, Ross B. Girshick, Jian Sun
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39 (6) (2017)
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
Feature Pyramid Networks for Object Detection. CVPR (2017)
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
Aggregated Residual Transformations for Deep Neural Networks. CVPR (2017)
Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He
Data Distillation: Towards Omni-Supervised Learning. CoRR (2017)
Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He
Detecting and Recognizing Human-Object Interactions. CoRR (2017)
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Identity Mappings in Deep Residual Networks. ECCV (4) (2016)
Jifeng Dai, Yi Li, Kaiming He, Jian Sun
R-FCN: Object Detection via Region-based Fully Convolutional Networks. NIPS (2016)
Jifeng Dai, Yi Li, Kaiming He, Jian Sun
R-FCN: Object Detection via Region-based Fully Convolutional Networks. CoRR (2016)
Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang
Image Super-Resolution Using Deep Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 38 (2) (2016)
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
Feature Pyramid Networks for Object Detection. CoRR (2016)
Jifeng Dai, Kaiming He, Jian Sun
Instance-Aware Semantic Segmentation via Multi-task Network Cascades. CVPR (2016)
Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation. CVPR (2016)
Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, Jian Sun
Instance-Sensitive Fully Convolutional Networks. ECCV (6) (2016)
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Deep Residual Learning for Image Recognition. CVPR (2016)
Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He
Is Faster R-CNN Doing Well for Pedestrian Detection? CoRR (2016)
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Identity Mappings in Deep Residual Networks. CoRR (2016)
Xiangyu Zhang, Jianhua Zou, Kaiming He, Jian Sun
Accelerating Very Deep Convolutional Networks for Classification and Detection. IEEE Trans. Pattern Anal. Mach. Intell. 38 (10) (2016)
Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation. CoRR (2016)
Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He
Is Faster R-CNN Doing Well for Pedestrian Detection? ECCV (2) (2016)
Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, Jian Sun
Instance-sensitive Fully Convolutional Networks. CoRR (2016)
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
Aggregated Residual Transformations for Deep Neural Networks. CoRR (2016)
Shaoqing Ren, Kaiming He, Ross B. Girshick, Jian Sun
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. NIPS (2015)
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Deep Residual Learning for Image Recognition. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kaiming He