Jesús Francisco Vargas-Bonilla

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Jesús Francisco Vargas-Bonilla 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. Yann LeCun
  8. Yoshua Bengio
  9. Sinno Jialin Pan
  10. Yangqing Jia

Who trusts Jesús Francisco Vargas-Bonilla overall

  1. Sara Beery
  2. Mohammad Sadegh Norouzzadeh

Papers from Jesús Francisco Vargas-Bonilla's perspective

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

Their papers