Xiaohui Huang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaohui Huang trusts

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

  1. Lorenzo Bruzzone (in Media Technology)
  2. Christopher K. I. Williams (in Optimization & Training)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Gustau Camps-Valls (in Media Technology)
  5. Karen Simonyan (in Computer Vision and Pattern Recognition)
  6. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  8. Kaiming He (in Computer Vision and Pattern Recognition)
  9. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  10. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Xiaohui Huang's perspective

Ordered by how strongly the researchers Xiaohui 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. Going deeper with convolutions
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  8. Speech recognition with deep recurrent neural networks
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers