Chang Huang

Computer Vision and Pattern Recognition · with Ai · 2004–2007

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Chang Huang trusts overall

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

  1. Robert E. Schapire
  2. Yoav Freund
  3. Jerome H. Friedman
  4. Henry Schneiderman
  5. Rainer Lienhart
  6. Franccois Fleuret
  7. S. Li
  8. Margarita Osadchy
  9. Takeshi Mita
  10. Yoram Singer

Who trusts Chang Huang overall

  1. Helmut Grabner
  2. Bangpeng Yao
  3. Sachin Sudhakar Farfade
  4. Shuo Yang
  5. Xue Yang
  6. Andrea Frome
  7. Horst Bischof
  8. Li Fei-Fei
  9. Cha Zhang
  10. Mohammad Javad Saberian

Papers from Chang Huang's perspective

Ordered by how strongly the researchers Chang Huang 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. A decision-theoretic generalization of on-line learning and an application to boosting
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers