Qingwu Hu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qingwu Hu trusts overall

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

  1. David G. Lowe
  2. Yan Ke
  3. Jean-Michel Morel
  4. Barbara Zitová
  5. Francisco P. M. Oliveira
  6. Peter Kovesi
  7. Edward Rosten
  8. Stefan Leutenegger
  9. Amin Sedaghat
  10. Jiri Matas

Who trusts Qingwu Hu overall

  1. Linfeng Tang

Papers from Qingwu Hu's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. A Combined Corner and Edge Detector
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Indexing based on scale invariant interest points (Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers