Kaiming He
Kaiming He
Research Scientist, Facebook AI Research (FAIR)
Bestätigte E-Mail-Adresse bei fb.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep Residual Learning for Image Recognition
K He, X Zhang, S Ren, J Sun
Computer Vision and Pattern Recognition (CVPR), 2016, 2016
564602016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
S Ren, K He, R Girshick, J Sun
Neural Information Processing Systems (NIPS), 2015, 2015
218612015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
K He, X Zhang, S Ren, J Sun
International Conference on Computer Vision (ICCV), 2015, 2015
92452015
Mask R-CNN
K He, G Gkioxari, P Dollár, R Girshick
International Conference on Computer Vision (ICCV), 2017, 2017
80412017
Learning a Deep Convolutional Network for Image Super-Resolution
C Dong, CC Loy, K He, X Tang
European Conference on Computer Vision (ECCV), 2014, 2014
5426*2014
Guided Image Filtering
K He, J Sun, X Tang
European Conference on Computer Vision (ECCV), 2010, 2010
49642010
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
K He, X Zhang, S Ren, J Sun
European Conference on Computer Vision (ECCV), 2014, 2014
48222014
Feature Pyramid Networks for Object Detection
TY Lin, P Dollár, R Girshick, K He, B Hariharan, S Belongie
Computer Vision and Pattern Recognition (CVPR), 2017, 2017
45722017
Single Image Haze Removal using Dark Channel Prior
K He, J Sun, X Tang
Computer Vision and Pattern Recognition (CVPR), 2009, 2009
44322009
Focal Loss for Dense Object Detection
TY Lin, P Goyal, R Girshick, K He, P Dollár
International Conference on Computer Vision (ICCV), 2017, 2017
43722017
Identity Mappings in Deep Residual Networks
K He, X Zhang, S Ren, J Sun
European Conference on Computer Vision (ECCV), 2016, 2016
42192016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
J Dai, Y Li, K He, J Sun
Neural Information Processing Systems (NIPS), 2016, 2016
29842016
Aggregated Residual Transformations for Deep Neural Networks
S Xie, R Girshick, P Dollár, Z Tu, K He
Computer Vision and Pattern Recognition (CVPR), 2017, 2017
28262017
Non-local Neural Networks
X Wang, R Girshick, A Gupta, K He
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
17012018
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
P Goyal, P Dollár, R Girshick, P Noordhuis, L Wesolowski, A Kyrola, ...
arXiv preprint arXiv:1706.02677, 2017
11982017
Instance-aware Semantic Segmentation via Multi-task Network Cascades
J Dai, K He, J Sun
Computer Vision and Pattern Recognition (CVPR), 2016, 2016
8672016
Group Normalization
Y Wu, K He
European Conference on Computer Vision (ECCV), 2018, 2018
7552018
Convolutional Neural Networks at Constrained Time Cost
K He, J Sun
Computer Vision and Pattern Recognition (CVPR), 2015, 2015
6932015
Is Faster R-CNN Doing Well for Pedestrian Detection?
L Zhang, L Lin, X Liang, K He
European Conference on Computer Vision (ECCV), 2016, 2016
5622016
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
J Dai, K He, J Sun
International Conference on Computer Vision (ICCV), 2015, 2015
5492015
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