Huan Chang

Computer Vision and Pattern Recognition · with Hong · 2015

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Huan Chang trusts overall

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

  1. Ce Liu
  2. Roger L. Hughes
  3. Saad Ali
  4. Mubarak Shah
  5. Louis Kratz
  6. Alex Krizhevsky
  7. Xiaodi Hou
  8. Stéphane Lafon
  9. Bolei Zhou
  10. Wei-Xin Li

Who trusts Huan Chang overall

  1. Vishwanath A. Sindagi
  2. Vishal M. Patel

Papers from Huan Chang's perspective

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

Their papers