Estíbaliz Garrote

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 3 papers; trusts 64 researchers and is trusted by 2,157 researchers here, as inferred from the citation graph.

Subfields

Whom Estíbaliz Garrote trusts overall

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

  1. Ivan Laptev
  2. Li Fei-Fei
  3. Hueihan Jhuang
  4. Thomas Serre
  5. Kaiming He
  6. Tomaso A. Poggio
  7. Geoffrey E. Hinton
  8. Antonio Torralba
  9. Rob Fergus
  10. Alex Krizhevsky

Who trusts Estíbaliz Garrote overall

  1. Limin Wang
  2. Christoph Feichtenhofer
  3. Rohit Girdhar
  4. Chen Sun
  5. Cordelia Schmid
  6. Basura Fernando
  7. Andrew Zisserman
  8. Luc Van Gool
  9. Du Tran
  10. Ishan Misra

Papers from Estíbaliz Garrote's perspective

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

Their papers