Felix Schiefer

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it

Whom Felix Schiefer trusts

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

1. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Felix Schiefer's perspective

Ordered by how strongly the researchers Felix Schiefer 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Review on Convolutional Neural Networks (CNN) in vegetation remote sensing (2021) — 1,587 citations
• Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks (2020) — 334 citations