Petter Ranefall

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Artificial Intelligence — 6 citations into it

Whom Petter Ranefall trusts overall

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

1. Kaiming He
2. X. Zhang

Papers from Petter Ranefall's perspective

Ordered by how strongly the researchers Petter Ranefall 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. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
3. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Automated Training of Deep Convolutional Neural Networks for Cell Segmentation (2017) — 130 citations