Jónathan Heras

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jónathan Heras trusts overall

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

  1. Mark A. Hall
  2. Karen Simonyan
  3. Kaiming He
  4. Patrice Y. Simard

Papers from Jónathan Heras's perspective

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

Their papers