Leon Sixt

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 86 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #6,767 of 21,575 by trust here, #10,677 by citations
• Artificial Intelligence — 13 citations into it
• Generative Models — 8 citations into it; #663 of 1,956 by trust here, #1,200 by citations

Whom Leon Sixt trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Kaiming He
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Individualized Treat
7. Jia Deng
8. Ilya Sutskever
9. Alec Radford
10. Jimmy Ba

Who trusts Leon Sixt overall

1. Ekin Dogus Cubuk
2. Barret Zoph
3. Tong Niu
4. Prateek Katiyar
5. Quoc V. Le
6. Elad Hoffer
7. Shuxiao Chen
8. Sergey Zakharov
9. Hung-Yu Tseng
10. Ryuichiro Hataya

Papers from Leon Sixt's perspective

Ordered by how strongly the researchers Leon Sixt 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• RenderGAN: Generating Realistic Labeled Data (2016) — 180 citations