Hector Bernal

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Hector Bernal trusts overall

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

  1. Alex Krizhevsky
  2. Christopher K. I. Williams
  3. Marcin Marszalek
  4. Antonio Torralba
  5. Geoffrey E. Hinton
  6. Rob Fergus
  7. Yann LeCun
  8. Cordelia Schmid
  9. Li Fei-Fei
  10. Yoshua Bengio

Who trusts Hector Bernal overall

  1. Mohamed Elhoseiny
  2. Jia Deng
  3. Carlo Ciliberto
  4. Sung Ju Hwang
  5. Nima Razavi
  6. Ryan Farrell

Papers from Hector Bernal's perspective

Ordered by how strongly the researchers Hector Bernal trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Learning Multiple Layers of Features from Tiny Images
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers