Álvaro García-Martín

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 240 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Álvaro García-Martín trusts overall

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

  1. Kaiming He
  2. Bolei Zhou
  3. Antonio Torralba
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Ross B. Girshick
  7. Geoffrey E. Hinton
  8. Aude Oliva
  9. Andrew Zisserman
  10. Yoshua Bengio

Papers from Álvaro García-Martín's perspective

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

Their papers