Peter Johanns

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Ecology — 6 citations into it

Whom Peter Johanns trusts overall

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

1. Timm Haucke
2. Alex Krizhevsky
3. J. Marcus Rowcliffe
4. Kaiming He
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Ross B. Girshick
8. René Ranftl
9. Sara Beery
10. Yoshihiro Nakashima

Papers from Peter Johanns's perspective

Ordered by how strongly the researchers Peter Johanns 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• Automated distance estimation for wildlife camera trapping (2022) — 26 citations