Martin Lohmann

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 179 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 16 citations into it
• Reinforcement Learning — 5 citations into it

Whom Martin Lohmann trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Pedro F. Felzenszwalb
5. Ross B. Girshick
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Yann LeCun
10. Jitendra Malik

Who trusts Martin Lohmann overall

1. S. Gadre
2. Kiana Ehsani

Papers from Martin Lohmann's perspective

Ordered by how strongly the researchers Martin Lohmann 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. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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

• Learning About Objects by Learning to Interact with Them (2020) — 18 citations