Yun Chang

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 277 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yun Chang trusts overall

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

  1. David Nistér
  2. Dorian Gálvez-López
  3. Andrew Zisserman
  4. Kaiming He
  5. Frank Dellaert
  6. David G. Lowe
  7. Juan D. Tardós
  8. Geoffrey E. Hinton
  9. Antoni Rosinol
  10. Alex Krizhevsky

Who trusts Yun Chang overall

  1. Kevin Qinghong Lin
  2. Zachary Teed

Papers from Yun Chang's perspective

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

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

Their papers