Thomas Küstner

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #20,577 of 21,575 by trust here, #15,529 by citations
• Generative Models — 29 citations into it
• Artificial Intelligence — 13 citations into it; #33,723 of 35,345 by trust here, #23,731 by citations

Whom Thomas Küstner trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Alex Krizhevsky
6. Yann LeCun
7. Yoshua Bengio
8. Andrew Zisserman
9. Jimmy Ba
10. Ilya Sutskever

Who trusts Thomas Küstner overall

1. Sergey I. Nikolenko

Papers from Thomas Küstner's perspective

Ordered by how strongly the researchers Thomas Küstner 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• MedGAN: Medical Image Translation using GANs (2018) — 709 citations