C. Fehringer

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Statistics and Probability — 17 citations into it
• Artificial Intelligence — 12 citations into it
• Finance — 12 citations into it
• Economics and Econometrics — 9 citations into it
• Generative Models — 5 citations into it

Whom C. Fehringer trusts overall

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

1. Karen Simonyan
2. Andrew Zisserman
3. Martin Heusel
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Hubert Ramsauer
7. Diederik P. Kingma
8. Sepp Hochreiter
9. Kaiming He
10. Yoshua Bengio

Who trusts C. Fehringer overall

1. Anton Sinitsin
2. Vsevolod Plokhotnyuk
3. Dmitriy V. Pyrkin
4. Sergei Popov

Papers from C. Fehringer's perspective

Ordered by how strongly the researchers C. Fehringer 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Conditional (2019)