Kaiming He

Benchmarking Detection Transfer Learning with Vision Transformers

Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollar, Kaiming He, Ross Girshick

An Empirical Study of Training Self-Supervised Vision Transformers

Xinlei Chen, Saining Xie, Kaiming He

Comments Camera-ready, ICCV 2021, Oral. Code: https://github.com/facebookresearch/moco-v3

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross Girshick, Kaiming He

Comments CVPR 2021

Exploring Simple Siamese Representation Learning

Xinlei Chen, Kaiming He

Comments Technical report, 10 pages

Graph Structure of Neural Networks

Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie

Comments ICML 2020, with open-source code

Are Labels Necessary for Neural Architecture Search?

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

Comments To appear in ECCV 2020 as spotlight. Code release: https://github.com/facebookresearch/unnas

A Multigrid Method for Efficiently Training Video Models

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

Comments CVPR 2020

Designing Network Design Spaces

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

Comments CVPR 2020

Momentum Contrast for Unsupervised Visual Representation Learning

Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick

Comments CVPR 2020 camera-ready. Code: https://github.com/facebookresearch/moco

Improved Baselines with Momentum Contrastive Learning

Xinlei Chen, Haoqi Fan, Ross Girshick, Kaiming He

Comments Tech report, 2 pages + references

PointRend: Image Segmentation as Rendering

Alexander Kirillov, Yuxin Wu, Kaiming He, Ross Girshick

Comments Technical Report

SlowFast Networks for Video Recognition

Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He

Comments Technical report

TensorMask: A Foundation for Dense Object Segmentation

Xinlei Chen, Ross Girshick, Kaiming He, Piotr Dollár

Comments accepted to ICCV

Deep Hough Voting for 3D Object Detection in Point Clouds

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

Comments ICCV 2019

Long-Term Feature Banks for Detailed Video Understanding

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

Comments Code and models are available at https://github.com/facebookresearch/video-long-term-feature-banks

Panoptic Feature Pyramid Networks

Alexander Kirillov, Ross Girshick, Kaiming He, Piotr Dollár

Comments accepted to CVPR 2019

Panoptic Segmentation

Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollár

Comments accepted to CVPR 2019

Exploring Randomly Wired Neural Networks for Image Recognition

Saining Xie, Alexander Kirillov, Ross Girshick, Kaiming He

Comments Technical report

Feature Denoising for Improving Adversarial Robustness

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

Comments CVPR 2019, code is available at: https://github.com/facebookresearch/ImageNet-Adversarial-Training

Rethinking ImageNet Pre-training

Kaiming He, Ross Girshick, Piotr Dollár

Comments Technical report

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations

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

Group Normalization

Yuxin Wu, Kaiming He

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

Exploring the Limits of Weakly Supervised Pretraining

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

Comments Technical report

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, Kaiming He

Comments Tech report (v2: correct typos)

Non-local Neural Networks

Xiaolong Wang, Ross Girshick, Abhinav Gupta, Kaiming He

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

Learning to Segment Every Thing

Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross Girshick

Detecting and Recognizing Human-Object Interactions

Georgia Gkioxari, Ross Girshick, Piotr Dollár, Kaiming He

Focal Loss for Dense Object Detection

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

Mask R-CNN

Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick

Comments open source; appendix on more results

Data Distillation: Towards Omni-Supervised Learning

Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, Kaiming He

Comments tech report