Wenjun Zhou

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenjun Zhou trusts overall

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

  1. David G. Lowe
  2. Ivan Laptev
  3. Marcin Marszalek
  4. Bernard Walter Silverman
  5. Cordelia Schmid
  6. Alexander Kläser
  7. Piotr Doll'ar
  8. Hao Zhang
  9. Yacine Aït-Sahalia
  10. Christian Schüldt

Who trusts Wenjun Zhou overall

  1. Farnoosh Heidarivincheh
  2. Hossein Rahmani

Papers from Wenjun Zhou's perspective

Ordered by how strongly the researchers Wenjun Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Histograms of oriented gradients for human detection
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers