Ricardo J. Barrientos

Computer Vision and Pattern Recognition · 2011–2020

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ricardo J. Barrientos trusts overall

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

  1. Matthew A. Turk
  2. Vincent Garcia
  3. Yann LeCun
  4. Alex Krizhevsky
  5. P. Jonathon Phillips
  6. Alex Pentland
  7. Geoffrey E. Hinton
  8. Kaiming He
  9. Donald Ervin Knuth
  10. Eric Debreuve

Who trusts Ricardo J. Barrientos overall

  1. Ali A. Dashti
  2. Nikos Sismanis
  3. Ivan Komarov
  4. Nikos P. Pitsianis

Papers from Ricardo J. Barrientos's perspective

Ordered by how strongly the researchers Ricardo J. Barrientos 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Going deeper with convolutions
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers