Hao Sun

Computer Vision and Pattern Recognition · with Chang · 2020

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 Hao Sun trusts

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

  1. Bill Triggs (in Computer Vision and Pattern Recognition)
  2. Navneet Dalal (in Computer Vision and Pattern Recognition)
  3. Rainer Lienhart (in Computer Vision and Pattern Recognition)
  4. Jochen Maydt (in Computer Vision and Pattern Recognition)
  5. Geoffrey E. Hinton (in Artificial Intelligence)

Papers from Hao Sun's perspective

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

  1. Histograms of oriented gradients for human detection
  2. Distilling the Knowledge in a Neural Network (arXiv.org)
  3. Feature Pyramid Networks for Object Detection
  4. A discriminatively trained, multiscale, deformable part model
  5. An extended set of Haar-like features for rapid object detection
  6. Privacy preserving crowd monitoring: Counting people without people models or tracking
  7. Learning Multi-scale Block Local Binary Patterns for Face Recognition (International Conference on Biometrics)
  8. Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground (European Conference on Computer Vision)
  9. EGNet: Edge Guidance Network for Salient Object Detection (IEEE International Conference on Computer Vision)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers