Kaiming He 何恺明
http://kaiminghe.com/

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 2019. Applications of ResNets also include language, speech, and AlphaGo.ActivitiesArea Chair: CVPR 2016, ICCV 2017, CVPR 2018, ECCV 2018, CVPR 2020Associate Editor: IJCV 2016-2019.Co-organize a tutorial on Visual Recognition at ECCV 2018.  slidesCo-organize a tutorial on Visual Recognition at CVPR 2018. slidesCo-organize a tutorial on Instance-level Recognition at ICCV 2017. slidesCo-organize a tutorial on Deep Learning for Objects and Scenes at CVPR 2017. slidesInvited to give a tutorial on Deep Residual Networks at ICML 2016. websiteCo-organize a tutorial on Object Detection at ICCV 2015. slides

PublicationsGoogle Scholar Profile
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick
Tech report, arXiv, Nov. 2019
arXiv 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 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
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 HonorsECCV Best Paper Honorable Mention, 2018PAMI Young Researcher Award, 2018ICCV Best Paper Award (Marr Prize), 2017ICCV Best Student Paper Award, 2017CVPR Best Paper Award, 2016CVPR Best Paper Award, 2009
Outstanding Reviewer: CVPR 2015, ICCV 2015, CVPR 2017
Microsoft Research Asia Fellowship, 2009
Microsoft Research Asia Young Fellowship, 2006

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