Colin J. Brown

Computer Vision and Pattern Recognition · 2017

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

Subfields

Whom Colin J. Brown trusts overall

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

  1. Benjamin Graham
  2. Karen Simonyan
  3. Tom Brosch
  4. Andrew Zisserman

Papers from Colin J. Brown's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers