Roberto Gonzalez

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Roberto Gonzalez trusts overall

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

  1. Karen Simonyan
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Andrew Zisserman
  7. Jia Deng
  8. Kaiming He
  9. Xavier Glorot
  10. Diederik P. Kingma

Papers from Roberto Gonzalez's perspective

Ordered by how strongly the researchers Roberto Gonzalez trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers