search

612901 / examples

Examples
https://volantis.js.org/examples/
0 stars 0 forks source link

Kaiming He #28

Closed 612901 closed 1 year ago

612901 commented 1 year ago

检查清单

站点信息

{
    "title": "Kaiming He",
    "url": "http://kaiminghe.com/",
    "avatar": "https://npm.elemecdn.com/justlovesmile-img/20220331120825.png",
    "screenshot": "",
    "description": ""
}

预览页面

http://kaiminghe.com/

github-actions[bot] commented 1 year ago

⚠️ 抱歉，Github Actions 检测到您的网站存在违规信息，现已下架。

如果您确认已经处理了违规信息，请重新提交issues.

以下是 Github Actions 检测到的违规信息 [注: Github Actions 可能会触发网站防火墙]

违规信息: ``` Kaiming He - FAIR

 Kaiming He 何恺明

  Research Scientist

  Facebook AI Research (FAIR), Menlo Park, CA

 

I am a Research Scientist at Facebook AI Research (FAIR). My research areas include computer vision and deep learning.

I have published some highly influential papers in computer vision and deep learning. My paper on Deep Residual Networks (ResNets) is the most cited paper in all research areas in Google Scholar Metrics 2019, 2020, 2021. The residual connection is a fundamental component in modern deep learning models (e.g., Transformers, AlphaGo Zero). My works on object detection and segmentation, including Faster R-CNN and Mask R-CNN, have made significant impact and are among the most cited papers in these areas. In recent years, I have been interested in unsupervised learning and my explorative works are the top cited papers published in CVPR 2020, 2021, 2022. I have a couple of papers that are among the top-10 most cited papers published in top-tier conferences for each year. My publications have 330,000 citations (as of July 2022) with an increase of ~100,000 per year.

I am a recipient of several prestigious awards in computer vision, including 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, the Best Paper Honorable Mention in ECCV 2018, CVPR 2021, and the Everingham Prize in ICCV 2021.

Before joining FAIR in 2016, I was with Microsoft Research Asia from 2011 to 2016. I received my PhD degree from the Chinese University of Hong Kong in 2011, and my BS degree from Tsinghua University in 2007.


Publications

Google Scholar Profile

   

Masked Autoencoders As Spatiotemporal Learners
 Christoph Feichtenhofer*, Haoqi Fan*, Yanghao Li, and Kaiming He
 Conference on Neural Information Processing Systems (NeurIPS), 2022
arXiv   code

   

Exploring Plain Vision Transformer Backbones for Object Detection
 Yanghao Li, Hanzi Mao, Ross Girshick*, and Kaiming He*
 European Conference on Computer Vision (ECCV), 2022
arXiv   code

   

Benchmarking Detection Transfer Learning with Vision Transformers
 Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, and Ross Girshick
 Tech report, Nov. 2021
arXiv

   

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
arXiv   code

   

An Empirical Study of Training Self-Supervised Vision Transformers
 Xinlei Chen*, Saining Xie*, and Kaiming He
 International Conference on Computer Vision (ICCV), 2021 (Oral)
arXiv   code

   

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
arXiv

   

Exploring Simple Siamese Representation Learning
 Xinlei Chen and Kaiming He
 Computer Vision and Pattern Recognition (CVPR), 2021 (Oral). Best Paper Honorable Mention
arXiv   code

   

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, Mar. 2020
arXiv   code

   

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
arXiv   code

   

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

   

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

   

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

   

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

   

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
arXiv   code

   

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

   

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
   

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

   

Panoptic Feature Pyramid Networks
 Alexander Kirillov, Ross Girshick, Kaiming He, and Piotr Dollár
 Computer Vision and Pattern Recognition (CVPR), 2019 (Oral)
arXiv    code    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 (NeurIPS), 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   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   code

   

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

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
   

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
   

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, 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
   

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
   

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
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   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 (NeurIPS), 2015
 IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted in 2016
 arXiv   NeurIPS 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


Activities


Awards and Honors

 
  HTML Counter unique visitors since May 2009

```