Luis Enrique Sucar

Computer Vision and Pattern Recognition · 2005–2018

A researcher in the Science corpus: 8 papers; trusts 35 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Luis Enrique Sucar trusts overall

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

  1. Martin L. Puterman
  2. Ryuichi Oka
  3. Tapio Schneider
  4. Michael L. Littman
  5. Sham M. Kakade
  6. Lawrence R. Rabiner
  7. R. May
  8. Kaiming He
  9. Andrew Y. Ng

Who trusts Luis Enrique Sucar overall

  1. Octavio Loyola-González

Papers from Luis Enrique Sucar's perspective

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

Their papers