Tim Landgraf

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 90 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #6,765 of 21,575 by trust here, #10,677 by citations
• Artificial Intelligence — 14 citations into it
• Ecology, Evolution, Behavior and Systematics — 12 citations into it
• Genetics — 12 citations into it
• Generative Models — 8 citations into it; #661 of 1,956 by trust here, #1,200 by citations
• Insect Science — 8 citations into it

Whom Tim Landgraf 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. Jia Deng
7. Individualized Treat
8. Ilya Sutskever
9. Jimmy Ba
10. Alec Radford

Who trusts Tim Landgraf overall

1. Ekin Dogus Cubuk
2. Barret Zoph
3. Prateek Katiyar
4. Tong Niu

Papers from Tim Landgraf's perspective

Ordered by how strongly the researchers Tim Landgraf 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. Learning Multiple Layers of Features from Tiny Images
6. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• RenderGAN: Generating Realistic Labeled Data (2016) — 180 citations
• Automatic methods for long-term tracking and the detection and decoding of communication dances in honeybees (2015) — 75 citations