Kaiming He

Exploring Randomly Wired Neural Networks for Image Recognition

Saining Xie, Alexander Kirillov, Ross Girshick +1

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

Shaoqing Ren, Kaiming He, Ross Girshick +1

Fast Guided Filter

Kaiming He, Jian Sun

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

Kaiming He, Xiangyu Zhang, Shaoqing Ren +1

Panoptic Segmentation

Alexander Kirillov, Kaiming He, Ross Girshick +2

Long-Term Feature Banks for Detailed Video Understanding

Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan +3

Feature Denoising for Improving Adversarial Robustness

Cihang Xie, Yuxin Wu, Laurens van der Maaten +2

Group Normalization

Yuxin Wu, Kaiming He

Non-local Neural Networks

Xiaolong Wang, Ross Girshick, Abhinav Gupta +1

Exploring the Limits of Weakly Supervised Pretraining

Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan +5

Instance-sensitive Fully Convolutional Networks

Jifeng Dai, Kaiming He, Yi Li +2

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Priya Goyal, Piotr DollÃ¡r, Ross Girshick +6

Convolutional Feature Masking for Joint Object and Stuff Segmentation

Jifeng Dai, Kaiming He, Jian Sun

Identity Mappings in Deep Residual Networks

Kaiming He, Xiangyu Zhang, Shaoqing Ren +1

Image Super-Resolution Using Deep Convolutional Networks

Chao Dong, Chen Change Loy, Kaiming He +1

Aggregated Residual Transformations for Deep Neural Networks

Saining Xie, Ross Girshick, Piotr DollÃ¡r +2

Detecting and Recognizing Human-Object Interactions

Georgia Gkioxari, Ross Girshick, Piotr DollÃ¡r +1

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren +1

Accelerating Very Deep Convolutional Networks for Classification and Detection

Xiangyu Zhang, Jianhua Zou, Kaiming He +1

cs.CV2014

Convolutional Neural Networks at Constrained Time Cost

Kaiming He, Jian Sun

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

Jifeng Dai, Kaiming He, Jian Sun

Is Faster R-CNN Doing Well for Pedestrian Detection?

Liliang Zhang, Liang Lin, Xiaodan Liang +1

Learning to Segment Every Thing

Ronghang Hu, Piotr DollÃ¡r, Kaiming He +2

Rethinking ImageNet Pre-training

Kaiming He, Ross Girshick, Piotr DollÃ¡r

Feature Pyramid Networks for Object Detection

Tsung-Yi Lin, Piotr DollÃ¡r, Ross Girshick +3

Focal Loss for Dense Object Detection

Tsung-Yi Lin, Priya Goyal, Ross Girshick +2

Object Detection Networks on Convolutional Feature Maps

Shaoqing Ren, Kaiming He, Ross Girshick +2

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren +1

Transitive Invariance for Self-supervised Visual Representation Learning

Xiaolong Wang, Kaiming He, Abhinav Gupta

cs.CV2014

Efficient and Accurate Approximations of Nonlinear Convolutional Networks

Xiangyu Zhang, Jianhua Zou, Xiang Ming +2

Panoptic Feature Pyramid Networks

Alexander Kirillov, Ross Girshick, Kaiming He +1

Mask R-CNN

Kaiming He, Georgia Gkioxari, Piotr DollÃ¡r +1

Instance-aware Semantic Segmentation via Multi-task Network Cascades

Jifeng Dai, Kaiming He, Jian Sun

cs.LG2018

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations

Zhilin Yang, Jake Zhao, Bhuwan Dhingra +4

ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation

Di Lin, Jifeng Dai, Jiaya Jia +2