Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Kaiming He

An Empirical Study of Training Self-Supervised Vision Transformers


May 05, 2021
Xinlei Chen, Saining Xie, Kaiming He

* Technical report, 10 pages. v2: corrected "Visual Transformer" to "Vision Transformer" 

  Access Paper or Ask Questions

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning


Apr 29, 2021
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross Girshick, Kaiming He

* CVPR 2021 

  Access Paper or Ask Questions

An Empirical Study of Training Self-Supervised Visual Transformers


Apr 05, 2021
Xinlei Chen, Saining Xie, Kaiming He

* Technical report, 10 pages 

  Access Paper or Ask Questions

Exploring Simple Siamese Representation Learning


Nov 20, 2020
Xinlei Chen, Kaiming He

* Technical report, 10 pages 

  Access Paper or Ask Questions

Graph Structure of Neural Networks


Jul 13, 2020
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie

* ICML 2020 

  Access Paper or Ask Questions

Designing Network Design Spaces


Mar 30, 2020
Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, Kaiming He, Piotr Dollár

* CVPR 2020 

  Access Paper or Ask Questions

Are Labels Necessary for Neural Architecture Search?


Mar 26, 2020
Chenxi Liu, Piotr Dollár, Kaiming He, Ross Girshick, Alan Yuille, Saining Xie


  Access Paper or Ask Questions

Improved Baselines with Momentum Contrastive Learning


Mar 09, 2020
Xinlei Chen, Haoqi Fan, Ross Girshick, Kaiming He

* Tech report, 2 pages + references 

  Access Paper or Ask Questions

PointRend: Image Segmentation as Rendering


Dec 17, 2019
Alexander Kirillov, Yuxin Wu, Kaiming He, Ross Girshick

* Technical Report 

  Access Paper or Ask Questions

A Multigrid Method for Efficiently Training Video Models


Dec 02, 2019
Chao-Yuan Wu, Ross Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl

* Technical report 

  Access Paper or Ask Questions

Momentum Contrast for Unsupervised Visual Representation Learning


Nov 14, 2019
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick

* Technical report 

  Access Paper or Ask Questions

Deep Hough Voting for 3D Object Detection in Point Clouds


Apr 21, 2019
Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas


  Access Paper or Ask Questions

Exploring Randomly Wired Neural Networks for Image Recognition


Apr 08, 2019
Saining Xie, Alexander Kirillov, Ross Girshick, Kaiming He

* Technical report 

  Access Paper or Ask Questions

TensorMask: A Foundation for Dense Object Segmentation


Mar 28, 2019
Xinlei Chen, Ross Girshick, Kaiming He, Piotr Dollár

* 12 pages, technical report 

  Access Paper or Ask Questions

Panoptic Feature Pyramid Networks


Jan 08, 2019
Alexander Kirillov, Ross Girshick, Kaiming He, Piotr Dollár

* tech report 

  Access Paper or Ask Questions

Long-Term Feature Banks for Detailed Video Understanding


Dec 12, 2018
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross Girshick

* Technical report 

  Access Paper or Ask Questions

SlowFast Networks for Video Recognition


Dec 10, 2018
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He

* Technical report 

  Access Paper or Ask Questions

Feature Denoising for Improving Adversarial Robustness


Dec 09, 2018
Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Kaiming He

* tech report 

  Access Paper or Ask Questions

Rethinking ImageNet Pre-training


Nov 21, 2018
Kaiming He, Ross Girshick, Piotr Dollár

* Technical report 

  Access Paper or Ask Questions

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations


Jul 02, 2018
Zhilin Yang, Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun


  Access Paper or Ask Questions

Group Normalization


Jun 11, 2018
Yuxin Wu, Kaiming He

* v3: Update trained-from-scratch results in COCO to 41.0AP. Code and models at https://github.com/facebookresearch/Detectron/blob/master/projects/GN 

  Access Paper or Ask Questions

Exploring the Limits of Weakly Supervised Pretraining


May 02, 2018
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

* Technical report 

  Access Paper or Ask Questions

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour


Apr 30, 2018
Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He

* Tech report (v2: correct typos) 

  Access Paper or Ask Questions

Panoptic Segmentation


Apr 14, 2018
Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollár

* update of related work and metric details 

  Access Paper or Ask Questions

Non-local Neural Networks


Apr 13, 2018
Xiaolong Wang, Ross Girshick, Abhinav Gupta, Kaiming He

* CVPR 2018, code is available at: https://github.com/facebookresearch/video-nonlocal-net 

  Access Paper or Ask Questions

Learning to Segment Every Thing


Mar 27, 2018
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross Girshick


  Access Paper or Ask Questions

Detecting and Recognizing Human-Object Interactions


Mar 27, 2018
Georgia Gkioxari, Ross Girshick, Piotr Dollár, Kaiming He


  Access Paper or Ask Questions

Focal Loss for Dense Object Detection


Feb 07, 2018
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollár


  Access Paper or Ask Questions

Mask R-CNN


Jan 24, 2018
Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick

* open source; appendix on more results 

  Access Paper or Ask Questions