Tim Matthews

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tim Matthews trusts overall

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

  1. Thorsten Joachims
  2. Devi Parikh
  3. Timo Ojala
  4. Kristen Grauman
  5. Adriana Kovashka
  6. Jianguo Zhang
  7. Topi Mäenpää
  8. Geoffrey E. Hinton
  9. Kaiming He
  10. Alex Krizhevsky

Who trusts Tim Matthews overall

  1. Mircea Cimpoi
  2. Li Liu
  3. Subhransu Maji
  4. Jie Chen
  5. Aron Yu

Papers from Tim Matthews's perspective

Ordered by how strongly the researchers Tim Matthews 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers