Julian Fierrez

Computer Vision and Pattern Recognition · 2003–2020

A researcher in the Science corpus: 10 papers; trusts 472 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Julian Fierrez trusts overall

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

  1. Lawrence R. Rabiner
  2. Anil K. Jain
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Kaiming He
  6. Alex Krizhevsky
  7. Andrew Zisserman
  8. Karen Simonyan
  9. Eric R. Ziegel
  10. Sébastien Marcel

Who trusts Julian Fierrez overall

  1. Ramachandra Raghavendra
  2. Luiz Gustavo Hafemann
  3. J. Unar
  4. Battista Biggio
  5. Javier Ortega-Garcia
  6. Mario Frank
  7. Robert Sabourin
  8. Donato Impedovo
  9. Rubén Tolosana
  10. Christoph Busch

Papers from Julian Fierrez's perspective

Ordered by how strongly the researchers Julian Fierrez 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. Attention is All you Need (Neural Information Processing Systems)
  6. Going deeper with convolutions
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers