Minghao Chang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minghao Chang trusts overall

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

  1. Diederik P. Kingma
  2. Justus Thies
  3. François Chollet
  4. Davis E. King
  5. Yuezun Li
  6. Geoffrey E. Hinton
  7. Andrew Zisserman
  8. Alex Krizhevsky
  9. João Carreira
  10. Xin Yang

Papers from Minghao Chang's perspective

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

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

Their papers