T. T. Santos

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 171 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. T. Santos trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. David G. Lowe
  4. Andrew Zisserman
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Shaoqing Ren
  8. Geoffrey E. Hinton
  9. Tsung-Yi Lin
  10. Suchet Bargoti

Papers from T. T. Santos's perspective

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

Their papers