Alberto Albiol

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 4 papers; trusts 65 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Alberto Albiol trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Caifeng Shan
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Shumeet Baluja
  7. Andrew Zisserman
  8. Yoshua Bengio
  9. Andrew C. Gallagher
  10. Gil Levi

Who trusts Alberto Albiol overall

  1. Mahmoud Afifi
  2. Sen Jia

Papers from Alberto Albiol's perspective

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

Their papers