Kaiming He

Research Scientist

I joined the Facebook AI Research (FAIR) team in August 2016 as a research scientist. Formerly I was a lead researcher at Microsoft Research Asia (MSRA), which I joined in 2011 after receiving my PhD. Prior to that, I was an intern at MSRA since 2007 after receiving my BS. My research interests are in computer vision and deep learning. I have received 2 CVPR Best Paper Awards as the first author (2009 and 2016). I and colleagues developed Deep Residual Networks (ResNets) that won the 1st places in all five major tracks in ImageNet and MS COCO competitions in 2015.


Computer vision and deep learning

Latest Publications

ICCV - October 10, 2021

An Empirical Study of Training Self-Supervised Vision Transformers

Xinlei Chen, Saining Xie, Kaiming He

CVPR - June 25, 2021

Exploring Simple Siamese Representation Learning

Xinlei Chen, Kaiming He

ICML - August 14, 2020

Graph Structure of Neural Networks

Jianxuan You, Jure Leskovec, Kaiming He, Saining Xie

ECCV - July 20, 2020

Are Labels Necessary for Neural Architecture Search?

Chenxi Liu, Piotr Dollár, Kaiming He, Ross Girshick, Alan Yuille, Saining Xie

CVPR - June 16, 2020

A Multigrid Method for Efficiently Training Video Models

Chao-Yuan Wu, Ross Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl

CVPR - June 14, 2020

Designing Network Design Spaces

Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, Kaiming He, Piotr Dollár

CVPR - June 14, 2020

PointRend: Image Segmentation as Rendering

Alexander Kirillov, Yuxin Wu, Kaiming He, Ross Girshick

ICCV - October 28, 2019

TensorMask: A Foundation for Dense Object Segmentation

Xinlei Chen, Ross Girshick, Kaiming He, Piotr Dollár

ICCV - October 28, 2019

SlowFast Networks for Video Recognition

Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He

ICCV - October 27, 2019

Rethinking ImageNet Pre-training

Kaiming He, Ross Girshick, Piotr Dollár

ICCV - October 27, 2019

Exploring Randomly Wired Neural Networks for Image Recognition

Saining Xie, Alexander Kirillov, Ross Girshick, Kaiming He

CVPR - June 18, 2019

Long-Term Feature Banks for Detailed Video Understanding

Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross Girshick

CVPR - June 17, 2019

Panoptic Feature Pyramid Networks

Alexander Kirillov, Ross Girshick, Kaiming He, Piotr Dollár

CVPR - June 17, 2019

Panoptic Segmentation

Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollár

CVPR - June 15, 2019

Feature Denoising for Improving Adversarial Robustness

Kaiming He, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Cihang Xie

NeurIPS - May 17, 2019

GLoMo: Unsupervised Learning of Transferable Relational Graphs

Zhilin Yang, Jake (Junbo) Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun

ECCV 2018 - September 7, 2018

Group Normalization

Yuxin Wu, Kaiming He

CVPR 2018 - June 18, 2018

Detecting and Recognizing Human-Object Interactions

Georgia Gkioxari, Ross Girshick, Piotr Dollár, Kaiming He

CVPR 2018 - June 18, 2018

Learning to Segment Every Thing

Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross Girshick

CVPR 2018 - June 18, 2018

Non-Local Neural Networks

Xiaolong Wang*, Ross Girshick, Abhinav Gupta, Kaiming He

CVPR 2018 - June 18, 2018

Data Distillation: Towards Omni-Supervised Learning

Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, Kaiming He

ArXiv - May 2, 2018

Exploring the Limits of Weakly Supervised Pretraining

Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

ICCV 2017 - October 22, 2017

Transitive Invariance for Self-supervised Visual Representation Learning

Xiaolong Wang*, Kaiming He, Abhinav Gupta

ICCV 2017 - October 22, 2017

Focal Loss for Dense Object Detection

Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollár

ICCV 2017 - October 22, 2017

Mask R-CNN

Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick

CVPR 2017 - July 21, 2017

Aggregated Residual Transformations for Deep Neural Networks

Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He

CVPR 2017 - July 21, 2017

Feature Pyramid Networks for Object Detection

Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie

Data @ Scale - June 8, 2017

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He

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