Michael Krause

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 156 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #19,349 of 21,575 by trust here, #10,500 by citations

Whom Michael Krause trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Ross B. Girshick
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Shaoqing Ren
7. Andrew Zisserman
8. Yann LeCun
9. Yoshua Bengio
10. Karen Simonyan

Who trusts Michael Krause overall

1. Jonathon Luiten
2. Jiyang Qi
3. Maxim Maximov

Papers from Michael Krause's perspective

Ordered by how strongly the researchers Michael Krause trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• MOTS: Multi-Object Tracking and Segmentation (2019) — 664 citations