Kaiming He

Transitive Invariance for Self-supervised Visual Representation Learning

Xiaolong Wang, Kaiming He, Abhinav Gupta

Comments ICCV 2017

Feature Pyramid Networks for Object Detection

Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie

Aggregated Residual Transformations for Deep Neural Networks

Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He

Comments Accepted to CVPR 2017. Code and models: https://github.com/facebookresearch/ResNeXt

Convolutional Feature Masking for Joint Object and Stuff Segmentation

Jifeng Dai, Kaiming He, Jian Sun

Comments IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

Comments This manuscript is the accepted version for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2015. See Changelog

Object Detection Networks on Convolutional Feature Maps

Shaoqing Ren, Kaiming He, Ross Girshick, Xiangyu Zhang, Jian Sun

Comments To appear in TPAMI; substantial re-writing over the original post at arXiv of April 2015. COCO competition results included

Is Faster R-CNN Doing Well for Pedestrian Detection?

Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He

Comments To appear in ECCV 2016, 15 pages, 5 figures (v2: fixed some typos)

Identity Mappings in Deep Residual Networks

Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

Comments ECCV 2016 camera-ready

ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation

Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun

Comments accepted by CVPR 2016

Instance-sensitive Fully Convolutional Networks

Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, Jian Sun

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun

Comments Extended tech report

Instance-aware Semantic Segmentation via Multi-task Network Cascades

Jifeng Dai, Kaiming He, Jian Sun

Comments Tech report. 1st-place winner of MS COCO 2015 segmentation competition

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

Comments Tech report

Accelerating Very Deep Convolutional Networks for Classification and Detection

Xiangyu Zhang, Jianhua Zou, Kaiming He, Jian Sun

Comments TPAMI, accepted. arXiv admin note: substantial text overlap with arXiv:1411.4229

Image Super-Resolution Using Deep Convolutional Networks

Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang

Comments 14 pages, 14 figures, journal

BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

Jifeng Dai, Kaiming He, Jian Sun

Fast Guided Filter

Kaiming He, Jian Sun

Comments Technical report

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

Convolutional Neural Networks at Constrained Time Cost

Kaiming He, Jian Sun

Comments 8-page technical report

Efficient and Accurate Approximations of Nonlinear Convolutional Networks

Xiangyu Zhang, Jianhua Zou, Xiang Ming, Kaiming He, Jian Sun