Tony R. Martinez

Computer Vision and Pattern Recognition · with Lin · 2020

A researcher in the Science corpus: 2 papers; trusts 411 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Tony R. Martinez trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Yann LeCun
  6. Diederik P. Kingma
  7. Andrew Zisserman
  8. Tsung-Yi Lin
  9. Yoshua Bengio
  10. Karen Simonyan

Who trusts Tony R. Martinez overall

  1. Fanqing Lin

Papers from Tony R. Martinez's perspective

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

Their papers