Stefan Oehmcke

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 103 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 30 citations into it
• Model Architectures — 23 citations into it

Whom Stefan Oehmcke trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Shaoqing Ren
6. Christian Szegedy
7. Yann LeCun
8. Tsung-Yi Lin
9. Yoshua Bengio
10. Sergey Ioffe

Papers from Stefan Oehmcke's perspective

Ordered by how strongly the researchers Stefan Oehmcke 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet Large Scale Visual Recognition Challenge
5. Going deeper with convolutions
6. Learning Multiple Layers of Features from Tiny Images
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Attentional Feature Fusion (2020) — 979 citations