引用次数
引用: 574,903
H-指数: 68
I10-指数 : 72
出版物: 75
Is Faster R-CNN Doing Well for Pedestrian Detection?
Xiaodan Liang , Liang Lin , Kaiming He , Liliang Zhang
arXiv: Computer Vision and Pattern Recognition
909
2016
Instance-sensitive Fully Convolutional Networks
Jifeng Dai , Shaoqing Ren , Kaiming He , Jian Sun
arXiv: Computer Vision and Pattern Recognition
463
2016
Object Detection Networks on Convolutional Feature Maps
Shaoqing Ren , Kaiming He , Jian Sun , Ross Girshick
arXiv: Computer Vision and Pattern Recognition
446
2015
Accelerating Very Deep Convolutional Networks for Classification and Detection
Kaiming He , Jian Sun , Xiangyu Zhang , Jianhua Zou
arXiv: Computer Vision and Pattern Recognition
829
2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren , Kaiming He , Jian Sun , Ross Girshick
arXiv: Computer Vision and Pattern Recognition
54,926
2015
Aggregated Residual Transformations for Deep Neural Networks
Piotr Dollár , Zhuowen Tu , Kaiming He , Ross Girshick
arXiv: Computer Vision and Pattern Recognition
8,890
2016
Panoptic Feature Pyramid Networks
Piotr Dollár , Alexander Kirillov , Kaiming He , Ross Girshick
arXiv: Computer Vision and Pattern Recognition
802
2019
A Multigrid Method for Efficiently Training Video Models
Philipp Krähenbühl , Kaiming He , Christoph Feichtenhofer , Ross Girshick
arXiv: Computer Vision and Pattern Recognition
85
2019
Improved Baselines with Momentum Contrastive Learning
Kaiming He , Ross B. Girshick , Haoqi Fan , Xinlei Chen
arXiv: Computer Vision and Pattern Recognition
1,800
2020
Graph Structure of Neural Networks
Jure Leskovec , Kaiming He , Saining Xie , Jiaxuan You
international conference on machine learning 1 10881 -10891
93
2020
Exploring Simple Siamese Representation Learning.
Kaiming He , Xinlei Chen
arXiv: Computer Vision and Pattern Recognition
1,767
2020
An Empirical Study of Training Self-Supervised Vision Transformers.
Kaiming He , Saining Xie , Xinlei Chen
arXiv: Computer Vision and Pattern Recognition
601
2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning.
Kaiming He , Christoph Feichtenhofer , Bo Xiong , Ross B. Girshick
arXiv: Computer Vision and Pattern Recognition
131
2021
Learning a Deep Convolutional Network for Image Super-Resolution
Chao Dong , Chen Change Loy , Kaiming He , Xiaoou Tang
european conference on computer vision 184 -199
4,743
2014
Guided image filtering
Kaiming He , Jian Sun , Xiaoou Tang
european conference on computer vision 1 -14
7,003
2010
Exploring the Limits of Weakly Supervised Pretraining
Dhruv Mahajan , Ross Girshick , Vignesh Ramanathan , Kaiming He
european conference on computer vision 185 -201
1,130
2018
Identity Mappings in Deep Residual Networks
Kaiming He , Xiangyu Zhang , Shaoqing Ren , Jian Sun
Computer Vision – ECCV 2016 630 -645
9,361
2016
Non-local Neural Networks
Xiaolong Wang , Ross Girshick , Abhinav Gupta , Kaiming He
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 7794 -7803
7,450
2018
Statistics of Patch Offsets for Image Completion
Kaiming He , Jian Sun
Computer Vision – ECCV 2012 16 -29
238
2012
Constant Time Weighted Median Filtering for Stereo Matching and Beyond
Ziyang Ma , Kaiming He , Yichen Wei , Jian Sun
international conference on computer vision 49 -56
331
2013