Oliver Wasenmüller

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 152 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Aerospace Engineering — 9 citations into it
• Artificial Intelligence — 9 citations into it
• Model Architectures — 5 citations into it

Whom Oliver Wasenmüller trusts overall

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

1. David G. Lowe
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Andreas Geiger
5. Yann LeCun
6. Heiko Hirschmüller
7. Alex Krizhevsky
8. Daniel Scharstein
9. Kaiming He
10. Yoshua Bengio

Papers from Oliver Wasenmüller's perspective

Ordered by how strongly the researchers Oliver Wasenmüller 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

• SDC – Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks (2019) — 53 citations