Thiago Oliveira-Santos

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 129 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thiago Oliveira-Santos trusts overall

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

  1. L. Eon Bottou
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Ilya Sutskever
  9. Frank Tong
  10. Diederik P. Kingma

Papers from Thiago Oliveira-Santos's perspective

Ordered by how strongly the researchers Thiago Oliveira-Santos trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers