Daniel Cruzado

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Cruzado trusts overall

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

  1. Ross B. Girshick
  2. Bo Li
  3. Kaiming He
  4. Karen Simonyan
  5. Navneet Dalal
  6. Shaoqing Ren
  7. Andrew Zisserman
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky

Papers from Daniel Cruzado's perspective

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

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

Their papers