原创/文 BFT机器人
人物简介
何恺明，Facebook AI Research (FAIR) 的一名科学家，研究领域包括计算机视觉和深度学习，并且在计算机视觉和深度学习方面发表了众多极具影响力的论文。
他发表的论文中，有关深度残差网络 (ResNets) 的论文是 Google Scholar Metrics 2019、2020、2021 年所有研究领域中被引用次数最多的论文。
近年来，何恺明有关无监督学习领域的论文作品是发表在 CVPR 2020、2021、2022 上的被引用次数最多的论文，其中几篇论文在*发表的被引用次数最多的论文中排名前 10。
另外，何恺明也是计算机视觉领域多个著名奖项的获得者，包括 2018 年 PAMI 青年研究员奖、2009 年 CVPR 最佳论文奖、2016 年 CVPR、2017 年 ICCV 最佳论文奖、2017 年 ICCV 最佳学生论文奖、2017 年最佳论文荣誉奖ECCV 2018，CVPR 2021，ICCV 2021 Everingham 奖。
- 2016年-至今 在FAIR工作
- 2011-2016年 在微软亚洲研究院工作
- 2011年 获香港中文大学博士学位
- 2007年 获清华大学学士学位
论文合集
Masked Autoencoders As Spatiotemporal Learners
Christoph Feichtenhofer*, Haoqi Fan*, Yanghao Li, and Kaiming He
Conference on Neural Information Processing Systems (NeurIPS), 2022
Exploring Plain Vision Transformer Backbones for Object Detection
Yanghao Li, Hanzi Mao, Ross Girshick*, and Kaiming He*
European Conference on Computer Vision (ECCV), 2022
Benchmarking Detection Transfer Learning with Vision Transformers
Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, and Ross Girshick
Tech report, Nov. 2021
Masked Autoencoders Are Scalable Vision Learners
Kaiming He*, Xinlei Chen*, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick
Computer Vision and Pattern Recognition (CVPR), 2022 (Oral). Best Paper Nominee
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen*, Saining Xie*, and Kaiming He
International Conference on Computer Vision (ICCV), 2021 (Oral)
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross Girshick, and Kaiming He
Computer Vision and Pattern Recognition (CVPR), 2021
Exploring Simple Siamese Representation Learning
Xinlei Chen and Kaiming He
Computer Vision and Pattern Recognition (CVPR), 2021 (Oral). Best Paper Honorable Mention
Graph Structure of Neural Networks
Jiaxuan You, Jure Leskovec, Kaiming He, and Saining Xie
International Conference on Machine Learning (ICML), 2020
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)
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He
Tech report, Mar. 2020
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 Nominee
PointRend: Image Segmentation as Rendering
Alexander Kirillov, Yuxin Wu, Kaiming He, and Ross Girshick
Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)
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)
Designing Network Design Spaces
Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, Kaiming He, and Piotr Dollár
Computer Vision and Pattern Recognition (CVPR), 2020
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)
SlowFast Networks for Video Recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He
International Conference on Computer Vision (ICCV), 2019 (Oral)
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 Nominee
TensorMask: A Foundation for Dense Object Segmentation
Xinlei Chen, Ross Girshick, Kaiming He, and Piotr Dollár
International Conference on Computer Vision (ICCV), 2019
Rethinking ImageNet Pre-training
Kaiming He, Ross Girshick, and Piotr Dollár
International Conference on Computer Vision (ICCV), 2019
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
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)
Panoptic Feature Pyramid Networks
Alexander Kirillov, Ross Girshick, Kaiming He, and Piotr Dollár
Computer Vision and Pattern Recognition (CVPR), 2019 (Oral)
Panoptic Segmentation
Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, and Piotr Dollár
Computer Vision and Pattern Recognition (CVPR), 2019
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 (NeurIPS), 2018
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
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
Non-local Neural Networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He
Computer Vision and Pattern Recognition (CVPR), 2018
Data Distillation: Towards Omni-Supervised Learning
Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, and Kaiming He
Computer Vision and Pattern Recognition (CVPR), 2018
Detecting and Recognizing Human-Object Interactions
Georgia Gkioxari, Ross Girshick, Piotr Dollár, and Kaiming He
Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight)
Learning to Segment Every Thing
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, and Ross Girshick
Computer Vision and Pattern Recognition (CVPR), 2018
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
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
Transitive Invariance for Self-supervised Visual Representation Learning
Xiaolong Wang, Kaiming He, and Abhinav Gupta
International Conference on Computer Vision (ICCV), 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, and Kaiming He
Tech report, June 2017
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
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
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 (NeurIPS), 2016
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
Instance-sensitive Fully Convolutional Networks
Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, and Jian Sun
European Conference on Computer Vision (ECCV), 2016
Identity Mappings in Deep Residual Networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun
European Conference on Computer Vision (ECCV), 2016 (Spotlight)
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
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai, Kaiming He, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2016 (Oral)
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)
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 (NeurIPS), 2015
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2016
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
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
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
Convolutional Neural Networks at Constrained Time Cost
Kaiming He and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2015
Convolutional Feature Masking for Joint Object and Stuff Segmentation
Jifeng Dai, Kaiming He, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2015
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
Sparse Projections for High-Dimensional Binary Codes
Yan Xia, Kaiming He, Pushmeet Kohli, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2015
A Geodesic-Preserving Method for Image Warping
Dongping Li, Kaiming He, Jian Sun, and Kun Zhou
Computer Vision and Pattern Recognition (CVPR), 2015
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
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
Graph Cuts for Supervised Binary Coding
Tiezheng Ge, Kaiming He, and Jian Sun
European Conference on Computer Vision (ECCV), 2014
Product Sparse Coding
Tiezheng Ge, Kaiming He, and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2014
Content-Aware Rotation
Kaiming He, Huiwen Chang, and Jian Sun
International Conference on Computer Vision (ICCV), 2013
Joint Inverted Indexing
Yan Xia, Kaiming He, Fang Wen, and Jian Sun
International Conference on Computer Vision (ICCV), 2013
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
Rectangling Panoramic Images via Warping
Kaiming He, Huiwen Chang, and Jian Sun
ACM Transactions on Graphics, Proceedings of ACM SIGGRAPH, 2013
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
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
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
Computing Nearest-Neighbor Fields via Propagation-Assisted KD-Trees
Kaiming He and Jian Sun
Computer Vision and Pattern Recognition (CVPR), 2012
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
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
Fast Matting using Large Kernel Matting Laplacian Matrices
Kaiming He, Jian Sun, and Xiaoou Tang
Computer Vision and Pattern Recognition (CVPR), 2010
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
获奖荣誉
- PAMI 埃弗林汉姆奖, 2021
- CVPR 最佳论文荣誉奖, 2021
- ECCV 最佳论文 Honorable Mention , 2018
- PAMI 青年研究员奖, 2018
- ICCV 最佳论文奖（Marr 奖） , 2017
- ICCV 最佳学生论文奖, 2017
- CVPR 最佳论文奖, 2016
- CVPR 最佳论文奖, 2009
- 杰出审稿人：CVPR 2015、ICCV 2015、CVPR 2017
- 微软亚洲研究院奖学金, 2009
- 微软亚洲研究院青年奖学金，2006
文章来源：https://kaiminghe.github.io/
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