Matthew Brown

Computer Vision and Pattern Recognition · with Criminisi · 2016

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 14 citations into it

Whom Matthew Brown trusts overall

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

1. Alex Krizhevsky

Papers from Matthew Brown's perspective

Ordered by how strongly the researchers Matthew Brown trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet Large Scale Visual Recognition Challenge
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
9. Caffe: Convolutional Architecture for Fast Feature Embedding
10. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Their papers

• Decision Forests, Convolutional Networks and the Models in-Between (2016) — 93 citations