Leonardo Chang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Leonardo Chang trusts overall

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

  1. Davis E. King
  2. Andrew Zisserman
  3. Kaiming He
  4. Shaoqing Ren
  5. X. Zhang
  6. Andrea Vedaldi
  7. Kilian Q. Weinberger
  8. Lawrence K. Saul
  9. Tal Hassner
  10. Ross B. Girshick

Who trusts Leonardo Chang overall

  1. Octavio Loyola-González

Papers from Leonardo Chang's perspective

Ordered by how strongly the researchers Leonardo Chang 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. Going deeper with convolutions
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers