Dietrich Paulus

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 113 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it; #7,824 of 21,575 by trust here, #8,409 by citations
• Artificial Intelligence — 31 citations into it
• Control and Systems Engineering — 15 citations into it
• Aerospace Engineering — 9 citations into it
• Reinforcement Learning — 9 citations into it
• Robotics & Control — 8 citations into it

Whom Dietrich Paulus trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Sergey Zagoruyko
6. Anton Milan
7. Diederik P. Kingma
8. Yoshua Bengio
9. Yann LeCun
10. Ilya Sutskever

Who trusts Dietrich Paulus overall

1. Xinshuo Weng
2. Jinkun Cao
3. Nicolai Wojke
4. Xingyi Zhou

Papers from Dietrich Paulus's perspective

Ordered by how strongly the researchers Dietrich Paulus 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• Simple online and realtime tracking with a deep association metric (2017) — 4,744 citations
• Simitate: A Hybrid Imitation Learning Benchmark (2019) — 20 citations