Kaiming He 何恺明

  Research Scientist

  Facebook AI Research (FAIR), Menlo Park, CA

 

I am a Research Scientist at Facebook AI Research (FAIR) as of 2016. Before that I was with Microsoft Research Asia (MSRA), which I joined in 2011 after receiving my PhD. My research interests are in computer vision and deep learning.

I am a recipient of the PAMI Young Researcher Award in 2018, the Best Paper Award in CVPR 2009, CVPR 2016, ICCV 2017, the Best Student Paper Award in ICCV 2017, and the Best Paper Honorable Mention in ECCV 2018. My paper on Deep Residual Networks (ResNets) is the most cited paper in all areas in Google Scholar Metrics 2020. Applications of ResNets also include language, speech, and AlphaGo.



Activities


Publications

Google Scholar Profile

   

Graph Structure of Neural Networks
Jiaxuan You, Jure Leskovec, Kaiming He, and Saining Xie
International Conference on Machine Learning (ICML), 2020
arXiv

   

Are Labels Necessary for Neural Architecture Search?
Chenxi Liu, Piotr Dollár, Kaiming He, Ross Girshick, Alan Yuille, and Saining Xie
European Conference on Computer Vision (ECCV), 2020 (Spotlight)
arXiv

   

Improved Baselines with Momentum Contrastive Learning
Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He
Tech report, arXiv, Mar. 2020
arXiv   code/models

   

Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick
Computer Vision and Pattern Recognition (CVPR), 2020 (Oral). Best Paper Nomination
arXiv   code/models

   

PointRend: Image Segmentation as Rendering
Alexander Kirillov, Yuxin Wu, Kaiming He, and Ross Girshick
Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)
arXiv   code/models

   

A Multigrid Method for Efficiently Training Video Models
Chao-Yuan Wu, Ross Girshick, Kaiming He, Christoph Feichtenhofer, and Philipp Krähenbühl
Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)
arXiv   code/models

   

Designing Network Design Spaces
Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, Kaiming He, and Piotr Dollár
Computer Vision and Pattern Recognition (CVPR), 2020
arXiv   code/models

   

Exploring Randomly Wired Neural Networks for Image Recognition
Saining Xie, Alexander Kirillov, Ross Girshick, and Kaiming He
International Conference on Computer Vision (ICCV), 2019 (Oral)
arXiv

   

SlowFast Networks for Video Recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He
International Conference on Computer Vision (ICCV), 2019 (Oral)
arXiv   code/models

   

Deep Hough Voting for 3D Object Detection in Point Clouds
Charles R. Qi, Or Litany, Kaiming He, and Leonidas J. Guibas
International Conference on Computer Vision (ICCV), 2019 (Oral). Best Paper Nomination
arXiv   code/models

   

TensorMask: A Foundation for Dense Object Segmentation
Xinlei Chen, Ross Girshick, Kaiming He, and Piotr Dollár
International Conference on Computer Vision (ICCV), 2019
arXiv   code/models

   

Rethinking ImageNet Pre-training
Kaiming He, Ross Girshick, and Piotr Dollár
International Conference on Computer Vision (ICCV), 2019
arXiv

   

Feature Denoising for Improving Adversarial Robustness
Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, and Kaiming He
Computer Vision and Pattern Recognition (CVPR), 2019
arXiv   code/models

   

Long-Term Feature Banks for Detailed Video Understanding
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, and Ross Girshick
Computer Vision and Pattern Recognition (CVPR), 2019 (Oral)
arXiv   code/models

   

Panoptic Feature Pyramid Networks
Alexander Kirillov, Ross Girshick, Kaiming He, and Piotr Dollár
Computer Vision and Pattern Recognition (CVPR), 2019 (Oral)
arXiv    code/models    slides: COCO 2017 workshop

   

Panoptic Segmentation
Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, and Piotr Dollár
Computer Vision and Pattern Recognition (CVPR), 2019
arXiv

   

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations
Zhilin Yang*, Jake Zhao*, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, and Yann LeCun
Conference on Neural Information Processing Systems (NIPS), 2018
arXiv

   

Group Normalization
Yuxin Wu and Kaiming He
European Conference on Computer Vision (ECCV), 2018 (Oral). Best Paper Honorable Mention
International Journal of Computer Vision (IJCV), accepted in 2019
arXiv   code/models   slides

   

Exploring the Limits of Weakly Supervised Pretraining
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens van der Maaten
European Conference on Computer Vision (ECCV), 2018
arXiv   models

   

Non-local Neural Networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He
Computer Vision and Pattern Recognition (CVPR), 2018
arXiv   code/models

   

Data Distillation: Towards Omni-Supervised Learning
Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, and Kaiming He
Computer Vision and Pattern Recognition (CVPR), 2018
arXiv

   

Detecting and Recognizing Human-Object Interactions
Georgia Gkioxari, Ross Girshick, Piotr Dollár, and Kaiming He
Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight)
arXiv

   

Learning to Segment Every Thing
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, and Ross Girshick
Computer Vision and Pattern Recognition (CVPR), 2018
arXiv

   

Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick
International Conference on Computer Vision (ICCV), 2017 (Oral). ICCV Best Paper Award (Marr Prize)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2018
arXiv
   talk   slides: ICCV tutorial  ICCV oral  COCO workshop   code/models

   

Focal Loss for Dense Object Detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár
International Conference on Computer Vision (ICCV), 2017 (Oral). ICCV Best Student Paper Award
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2018
arXiv   code/models

   

Transitive Invariance for Self-supervised Visual Representation Learning
Xiaolong Wang, Kaiming He, and Abhinav Gupta
International Conference on Computer Vision (ICCV), 2017
arXiv

   

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, and Kaiming He
Tech report, arXiv, June
2017
arXiv

   

Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie
Computer Vision and Pattern Recognition (CVPR), 2017
arXiv
   code/models

   

Aggregated Residual Transformations for Deep Neural Networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He
Computer Vision and Pattern Recognition (CVPR), 2017
arXiv
   code/models

   

R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai, Yi Li, Kaiming He, and Jian Sun
Conference on Neural Information Processing Systems (NIPS), 2016
arXiv
   code

   

Is Faster R-CNN Doing Well for Pedestrian Detection?
Liliang Zhang, Liang Lin, Xiaodan Liang, and Kaiming He
European Conference on Computer Vision (ECCV), 2016

arXiv
   code

   

Instance-sensitive Fully Convolutional Networks
Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, and Jian Sun
European Conference on Computer Vision (ECCV), 2016

arXiv

   

Identity Mappings in Deep Residual Networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun
European Conference on Computer Vision (ECCV), 2016 (Spotlight)
arXiv   code

   

Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun

Computer Vision and Pattern Recognition (CVPR), 2016 (Oral). CVPR Best Paper Award
arXiv   code/models   talk
   slides: ILSVRC workshop  ICML tutorial  CVPR oral
ILSVRC & COCO competitions 2015: we won the 1st places in ImageNet classification, ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation!

   

Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai, Kaiming He, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2016 (Oral)
arXiv
   code
1st place of COCO 2015 segmentation competition

   

ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2016 (Oral)
arXiv   project

   

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun

Conference on Neural Information Processing Systems (NIPS), 2015
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2016
arXiv   NIPS version   code-matlab   code-python

   

Object Detection Networks on Convolutional Feature Maps
Shaoqing Ren, Kaiming He, Ross Girshick, Xiangyu Zhang, and Jian Sun

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2016
arXiv

   

BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai, Kaiming He, and Jian Sun
International Conference on Computer Vision (ICCV), 2015
arXiv

   

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun

International Conference on Computer Vision (ICCV), 2015
arXiv   ICCV version

The first to surpass human-level performance

   

Convolutional Neural Networks at Constrained Time Cost
Kaiming He and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2015
arXiv

   

Convolutional Feature Masking for Joint Object and Stuff Segmentation
Jifeng Dai, Kaiming He, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2015
arXiv
   code

   

Efficient and Accurate Approximations of Nonlinear Convolutional Networks
Xiangyu Zhang, Jianhua Zou, Xiang Ming, Kaiming He, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2015
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2015
PAMI version   CVPR version

   

Sparse Projections for High-Dimensional Binary Codes
Yan Xia, Kaiming He, Pushmeet Kohli, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2015
paper   code

   

A Geodesic-Preserving Method for Image Warping
Dongping Li, Kaiming He, Jian Sun, and Kun Zhou
Computer Vision and Pattern Recognition (CVPR), 2015
paper

   

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun
European Conference on Computer Vision (ECCV), 2014
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2015
arXiv  
project   slides   poster   code
ILSVRC 2014 - We ranked 2nd in detection and 3rd in classification.
100x faster than R-CNN for object detection

   

Learning a Deep Convolutional Network for Image Super-Resolution
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang
European Conference on Computer Vision (ECCV), 2014
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2015
arXiv
  
ECCV version   code
waifu2x

   

Graph Cuts for Supervised Binary Coding
Tiezheng Ge, Kaiming He, and Jian Sun
European Conference on Computer Vision (ECCV), 2014
paper

   

Product Sparse Coding
Tiezheng Ge, Kaiming He, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2014
paper

   

Content-Aware Rotation
Kaiming He, Huiwen Chang, and Jian Sun
International Conference on Computer Vision (ICCV), 2013
paper   image   project

   

Joint Inverted Indexing
Yan Xia,
Kaiming He, Fang Wen, and Jian Sun
International Conference on Computer Vision (ICCV), 2013
paper   project

   

Constant Time Weighted Median Filtering for Stereo Matching and Beyond
Ziyang Ma, Kaiming He, Yichen Wei, Jian Sun, and Enhua Wu
International Conference on Computer Vision (ICCV), 2013

paper   supp   code

   

Rectangling Panoramic Images via Warping
Kaiming He, Huiwen Chang, and Jian Sun
ACM Transactions on Graphics, Proceedings of ACM SIGGRAPH, 2013
paper   image   slides   project

   

Optimized Product Quantization for Approximate Nearest Neighbor Search
Tiezheng Ge, Kaiming He, Qifa Ke, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2013

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2013
paper   PAMI version   supp   code   project

   

K-means Hashing: an Affinity-Preserving Quantization Method for Learning Binary Compact Codes
Kaiming He, Fang Wen, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2013
paper 

   

Statistics of Patch Offsets for Image Completion
Kaiming He and Jian Sun
European Conference on Computer Vision (ECCV), 2012
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2014
paper  
PAMI version   supp   project

   

Computing Nearest-Neighbor Fields via Propagation-Assisted KD-Trees
Kaiming He and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2012
paper   poster

   

A Global Sampling Method for Alpha Matting
Kaiming He
, Christoph Rhemann, Carsten Rother, Xiaoou Tang, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2011
paper

   

Guided Image Filtering
Kaiming He
, Jian Sun, and Xiaoou Tang
European Conference on Computer Vision (ECCV), 2010 (Oral)

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2012
paper   PAMI version   supp   code   slides   project

   

Fast Matting using Large Kernel Matting Laplacian Matrices
Kaiming He, Jian Sun, and Xiaoou Tang
Computer Vision and Pattern Recognition (CVPR), 2010
paper   supp

   

Single Image Haze Removal using Dark Channel Prior
Kaiming He, Jian Sun, and Xiaoou Tang
Computer Vision and Pattern Recognition (CVPR), 2009 (Oral).
CVPR Best Paper Award
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2010
paper  
PAMI version   images   slides   videos   project   thesis

  

Awards and Honors

 
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