Che-Han Chang

2014 IEEE Conference on Computer Vision and Pattern Recognition · with Chuang · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Che-Han Chang trusts overall

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

  1. Matthew A. Brown
  2. Andrea Vedaldi
  3. David G. Lowe
  4. Brian Fulkerson

Who trusts Che-Han Chang overall

  1. Chung-Ching Lin
  2. Sharath Pankanti

Papers from Che-Han Chang's perspective

Ordered by how strongly the researchers Che-Han 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers