Eduardo A. B. da Silva

Computer Vision and Pattern Recognition · 2002–2021

A researcher in the Science corpus: 3 papers; trusts 383 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eduardo A. B. da Silva trusts overall

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

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

Papers from Eduardo A. B. da Silva's perspective

Ordered by how strongly the researchers Eduardo A. B. da Silva 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. ImageNet Large Scale Visual Recognition Challenge
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers