João Paulo Costeira

Computer Vision and Pattern Recognition · 2009–2021

A researcher in the Science corpus: 6 papers; trusts 292 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom João Paulo Costeira trusts overall

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

  1. Andrew Zisserman
  2. Karen Simonyan
  3. Kaiming He
  4. David G. Lowe
  5. Victor S. Lempitsky
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Carlo Tomasi
  10. Gene H. Golub

Who trusts João Paulo Costeira overall

  1. João Carreira
  2. Sara Alexandra Gomes Vicente
  3. Luca Ciampi
  4. Lourdes de Agapito
  5. Angjoo Kanazawa
  6. Chris Russell
  7. Vishwanath A. Sindagi
  8. Corey Snyder

Papers from João Paulo Costeira's perspective

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

Their papers