Jorge Bernal

Computer Vision and Pattern Recognition · 2012–2017

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Jorge Bernal trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Laurent Itti
  4. Antonio Torralba
  5. Neil D. B. Bruce
  6. Dashan Gao
  7. Robby T. Tan
  8. Ilya Sutskever
  9. Evan Shelhamer
  10. Naila Murray

Who trusts Jorge Bernal overall

  1. Debesh Jha
  2. Md Mostafijur Rahman
  3. Kristoffer Wickstrøm
  4. Nima Tajbakhsh
  5. JunChao Wei
  6. Pia Helen Smedsrud
  7. Taehun Kim
  8. Tao Zhou
  9. Michael Alexander Riegler
  10. Xiaoqi Zhao

Papers from Jorge Bernal's perspective

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

Their papers