Werner Friedl

Computer Vision and Pattern Recognition · 2011–2021

A researcher in the Science corpus: 2 papers; trusts 86 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Model Architectures — 9 citations into it

Whom Werner Friedl trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yann LeCun
7. Yoshua Bengio
8. Karen Simonyan
9. Shaoqing Ren
10. X. Zhang

Papers from Werner Friedl's perspective

Ordered by how strongly the researchers Werner Friedl 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Unknown Object Segmentation from Stereo Images (2021) — 40 citations
• The DLR hand arm system (2011) — 451 citations