De-shuang Huang

Computer Vision and Pattern Recognition · 2007–2018

A researcher in the Science corpus: 6 papers; trusts 27 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom De-shuang Huang trusts overall

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

  1. David Dapeng Zhang
  2. Adams Wai-Kin Kong
  3. Ioan Cristian Trelea
  4. R. Eberhart
  5. Peter W. Frey
  6. Ronan Collobert
  7. Yoshua Bengio
  8. Slobodan Ribaric
  9. Luminita A. Vese
  10. Tony F. Chan

Who trusts De-shuang Huang overall

  1. Adams Wai-Kin Kong
  2. David Dapeng Zhang
  3. Jie Cai
  4. J. Unar
  5. Yingbo Zhou
  6. Jiawei Luo
  7. Woo Chaw Seng
  8. Duy-Tang Hoang
  9. Ajay Kumar
  10. Mohamed S. Kamel

Papers from De-shuang Huang's perspective

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

Their papers