Jun Jiang

Computer Vision and Pattern Recognition · with Feng · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Jiang trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Andrea Vedaldi (in Computer Vision and Pattern Recognition)
  3. Florent Perronnin (in Computer Vision and Pattern Recognition)

Papers from Jun Jiang's perspective

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

  1. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Video Google: a text retrieval approach to object matching in videos
  5. Gradient-based learning applied to document recognition
  6. Improving the Fisher Kernel for Large-Scale Image Classification
  7. ImageNet: A large-scale hierarchical image database
  8. Vlfeat: an open and portable library of computer vision algorithms
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers