Alexander Gómez-Villa

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Gómez-Villa trusts overall

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

  1. Karen Simonyan
  2. Kaiming He
  3. Christian Szegedy
  4. Andrew Zisserman
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Sinno Jialin Pan
  8. Yann LeCun
  9. Yoshua Bengio
  10. Yangqing Jia

Who trusts Alexander Gómez-Villa overall

  1. Sara Beery
  2. Mohammad Sadegh Norouzzadeh
  3. Anh Totti Nguyen
  4. Marco Willi
  5. Dan Morris
  6. A. Swanson
  7. Margaret Kosmala

Papers from Alexander Gómez-Villa's perspective

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

Their papers