Xavier Baró

Computer Vision and Pattern Recognition · 2012–2017

A researcher in the Science corpus: 9 papers; trusts 270 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Baró trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Kaiming He
  5. Yann LeCun
  6. Karen Simonyan
  7. Sergio Escalera
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Andrew Zisserman

Who trusts Xavier Baró overall

  1. Sergio Escalera
  2. Hongsong Wang
  3. Hee Jung Ryu
  4. Liang Wang
  5. Lionel Pigou
  6. Michele Merler
  7. Isabelle M Guyon

Papers from Xavier Baró's perspective

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

Their papers