Fast Guided Filter.

Kaiming He , Jian Sun
arXiv: Computer Vision and Pattern Recognition

229
2015
Convolutional feature masking for joint object and stuff segmentation

Jifeng Dai , Kaiming He , Jian Sun
computer vision and pattern recognition 3992 -4000

322
2015
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Shaoqing Ren , Kaiming He , Jian Sun , Xiangyu Zhang
arXiv: Computer Vision and Pattern Recognition

11,296
2014
R-FCN: Object Detection via Region-based Fully Convolutional Networks

Jifeng Dai , Kaiming He , Jian Sun , Yi Li
neural information processing systems 29 379 -387

5,810
2016
Mask R-CNN

Georgia Gkioxari , Piotr Dollár , Kaiming He , Ross Girshick
computer vision and pattern recognition

473
2017
Detecting and Recognizing Human-Object Interactions

Georgia Gkioxari , Piotr Dollár , Kaiming He , Ross Girshick
arXiv: Computer Vision and Pattern Recognition

494
2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Aapo Kyrola , Piotr Dollár , Lukasz Wesolowski , Yangqing Jia
arXiv: Computer Vision and Pattern Recognition

3,044
2017
Learning to Segment Every Thing

Piotr Dollár , Kaiming He , Trevor Darrell , Ronghang Hu
arXiv: Computer Vision and Pattern Recognition

297
2017
Data Distillation: Towards Omni-Supervised Learning

Georgia Gkioxari , Piotr Dollár , Kaiming He , Ross Girshick
arXiv: Computer Vision and Pattern Recognition

382
2017
Group Normalization

Kaiming He , Yuxin Wu
arXiv: Computer Vision and Pattern Recognition

2,746
2018
Panoptic Segmentation

Piotr Dollár , Alexander Kirillov , Carsten Rother , Kaiming He
arXiv: Computer Vision and Pattern Recognition

13
2018
Rethinking ImageNet Pre-training.

Piotr Dollár , Kaiming He , Ross Girshick
arXiv: Computer Vision and Pattern Recognition

937
2018
GLoMo: Unsupervised Learning of Transferable Relational Graphs

Ruslan Salakhutdinov , Yann LeCun , William W. Cohen , Kaiming He
neural information processing systems 31 8950 -8961

23
2018
Feature Denoising for Improving Adversarial Robustness

Laurens van der Maaten , Alan Yuille , Cihang Xie , Kaiming He
arXiv: Computer Vision and Pattern Recognition

723
2018
Long-Term Feature Banks for Detailed Video Understanding.

Philipp Krähenbühl , Kaiming He , Christoph Feichtenhofer , Ross Girshick
arXiv: Computer Vision and Pattern Recognition

391
2018
Exploring Randomly Wired Neural Networks for Image Recognition

Alexander Kirillov , Kaiming He , Ross Girshick , Saining Xie
arXiv: Computer Vision and Pattern Recognition

335
2019
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation

Jiaya Jia , Di Lin , Jifeng Dai , Kaiming He
arXiv: Computer Vision and Pattern Recognition

847
2016
Feature Pyramid Networks for Object Detection

Serge Belongie , Piotr Dollár , Bharath Hariharan , Kaiming He
arXiv: Computer Vision and Pattern Recognition

17,110
2016
Deep Residual Learning for Image Recognition

Shaoqing Ren , Kaiming He , Jian Sun , Xiangyu Zhang
arXiv: Computer Vision and Pattern Recognition

156,173
2015
Convolutional Neural Networks at Constrained Time Cost

Kaiming He , Jian Sun
arXiv: Computer Vision and Pattern Recognition

2,450
2014