Andrew Cunningham

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #5,911 of 21,575 by trust here, #7,340 by citations
• Generative Models — 9 citations into it; #563 of 1,956 by trust here, #832 by citations
• Media Technology — 7 citations into it
• Artificial Intelligence — 5 citations into it

Whom Andrew Cunningham trusts overall

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

1. Diederik P. Kingma
2. Ronald J. Williams
3. Aäron van den Oord
4. Geoffrey E. Hinton
5. Yann LeCun
6. Kaiming He
7. Yoshua Bengio
8. Zhou Wang
9. Alex Krizhevsky
10. Lucas Theis

Who trusts Andrew Cunningham overall

1. Eirikur Agustsson
2. David C. Minnen
3. Fabian Mentzer
4. Lucas Caccia
5. Michael Tschannen
6. Johannes Ballé
7. Oren Rippel
8. Guo Lu
9. Auke J. Wiggers

Papers from Andrew Cunningham's perspective

Ordered by how strongly the researchers Andrew Cunningham 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. GENERATIVE ADVERSARIAL NETS
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Lossy Image Compression with Compressive Autoencoders (2017) — 1,156 citations