Brandon RichardWebster

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Cognitive Neuroscience — 12 citations into it
• Artificial Intelligence — 11 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Brandon RichardWebster trusts overall

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

1. Alex Krizhevsky
2. Antonio Torralba
3. Geoffrey E. Hinton
4. Ilker Yildirim
5. Jonathan Westley Peirce
6. N. Prins
7. Christian Szegedy
8. Ilya Sutskever
9. Yarin Gal
10. Maximilian Riesenhuber

Papers from Brandon RichardWebster's perspective

Ordered by how strongly the researchers Brandon RichardWebster 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. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition (2016) — 77 citations