Huabing Zhou

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huabing Zhou trusts overall

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

  1. David G. Lowe
  2. Andrea Vedaldi
  3. Sam T. Roweis
  4. Ondřej Chum
  5. Philip H. S. Torr
  6. Charles A. Micchelli
  7. Andriy Myronenko
  8. Andrew Zisserman
  9. Barbara Zitová
  10. Arthur P. Dempster

Who trusts Huabing Zhou overall

  1. Jiayi Ma
  2. Xingyu Jiang

Papers from Huabing Zhou's perspective

Ordered by how strongly the researchers Huabing Zhou 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. Distinctive Image Features from Scale-Invariant Keypoints
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers