Zhaoqiang Yun

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Zhaoqiang Yun trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  3. David G. Lowe (in Computer Vision and Pattern Recognition)
  4. Pietro Perona (in Computer Vision and Pattern Recognition)
  5. Cordelia Schmid (in Computer Vision and Pattern Recognition)
  6. Josef Sivic (in Computer Vision and Pattern Recognition)

Who trusts Zhaoqiang Yun

  1. Octavio Loyola-González (in Computer Vision and Pattern Recognition)

Papers from Zhaoqiang Yun's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  3. Video Google: a text retrieval approach to object matching in videos
  4. Locality-constrained Linear Coding for image classification
  5. Efficient sparse coding algorithms
  6. A Bayesian hierarchical model for learning natural scene categories
  7. ImageNet classification with deep convolutional neural networks
  8. Robust wide-baseline stereo from maximally stable extremal regions
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gradient-based learning applied to document recognition

Their papers