Timo Rehfeld

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 220 researchers and is trusted by 1,924 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it; #914 of 21,575 by trust here, #798 by citations
• Artificial Intelligence — 24 citations into it

Whom Timo Rehfeld trusts overall

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

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

Who trusts Timo Rehfeld overall

1. Luc Van Gool
2. Liang-Chieh Chen
3. Vladlen Koltun
4. Fisher Yu
5. Kaiming He
6. Chunhua Shen
7. Dengxin Dai
8. Alexander Kirillov
9. Trevor Darrell
10. Hengshuang Zhao

Papers from Timo Rehfeld's perspective

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

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

Their papers

• The Cityscapes Dataset for Semantic Urban Scene Understanding (2016) — 13,806 citations