Andrew J. Moore

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it; #4,775 of 21,575 by trust here, #12,172 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Andrew J. Moore trusts overall

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

1. David John Cameron MacKay
2. Raquel Urtasun
3. Iain Murray
4. David J. Fleet
5. Charles M. Bishop
6. Xiangyang Lan
7. Neil D. Lawrence
8. Jack M. Wang
9. Brian Ferris
10. Aaron Hertzmann

Who trusts Andrew J. Moore overall

1. Greg Yang
2. Andreas C. Damianou
3. Francesc Moreno-Noguer
4. David Kristjanson Duvenaud
5. Hugh Salimbeni
6. Jonathan Ko
7. Neil D. Lawrence
8. Graham W. Taylor
9. Mykhaylo Andriluka
10. Leslie Ikemoto

Papers from Andrew J. Moore's perspective

Ordered by how strongly the researchers Andrew J. Moore 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. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Hierarchical Gaussian process latent variable models (2007) — 227 citations