Cooper Bills

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #17,499 of 21,575 by trust here, #17,757 by citations

Whom Cooper Bills trusts overall

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

1. Radford M. Neal
2. Ashutosh Saxena
3. Aude Oliva
4. Koray Çelik
5. Andrew Y. Ng
6. Pieter Abbeel
7. Antonio Torralba
8. Arun Kumar Somani
9. Adam Coates
10. Geoffrey E. Hinton

Who trusts Cooper Bills overall

1. Fereshteh Sadeghi
2. Lorenz Meier
3. Friedrich Fraundorfer
4. Sergey Levine
5. Lionel Heng
6. Petri Tanskanen
7. Dong Ki Kim
8. Gim Hee Lee

Papers from Cooper Bills's perspective

Ordered by how strongly the researchers Cooper Bills 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Autonomous MAV flight in indoor environments using single image perspective cues (2011) — 240 citations