Javier Alonso-Mora

Computer Vision and Pattern Recognition · with Rus · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 89 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Javier Alonso-Mora trusts overall

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

  1. Keld Helsgaun
  2. Tucker R. Balch
  3. David G. Lowe
  4. Kaiming He
  5. Fred W. Glover
  6. Duc Truong Pham
  7. Shaoqing Ren
  8. Geoffrey E. Hinton
  9. Yann LeCun
  10. Alex Krizhevsky

Who trusts Javier Alonso-Mora overall

  1. Nicholas Rhinehart
  2. Azim Eskandarian
  3. B. Schaller
  4. Saleh Afroogh

Papers from Javier Alonso-Mora's perspective

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

Their papers