Matt Angus

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matt Angus trusts overall

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

  1. Stephan R. Richter
  2. Evan Shelhamer
  3. Andreas Geiger
  4. Gabriel J. Brostow
  5. Vijay Badrinarayanan
  6. Judy Hoffman
  7. Trevor Darrell
  8. Geoffrey E. Hinton
  9. Kaiming He
  10. Alex Krizhevsky

Who trusts Matt Angus overall

  1. Mike Roberts
  2. Braden Hurl
  3. Samin Rahman Khan
  4. Krzysztof Czarnecki
  5. Nathan Paczan

Papers from Matt Angus's perspective

Ordered by how strongly the researchers Matt Angus 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. ImageNet Large Scale Visual Recognition Challenge
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers