Rodrigo Ortiz Cayon

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rodrigo Ortiz Cayon trusts overall

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

  1. Johannes L. Schönberger

Papers from Rodrigo Ortiz Cayon's perspective

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

  1. Layer Normalization
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Their papers