Yuehu Liu

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuehu Liu trusts

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

  1. Ramkant Nevatia (in Computer Vision and Pattern Recognition)
  2. Paul A. Viola (in Computer Vision and Pattern Recognition)
  3. William T. Freeman (in Computer Vision and Pattern Recognition)
  4. Konrad Schindler (in Computer Vision and Pattern Recognition)
  5. Mubarak Shah (in Computer Vision and Pattern Recognition)
  6. Bernt Schiele (in Computer Vision and Pattern Recognition)
  7. Stefan Roth (in Computer Vision and Pattern Recognition)
  8. Luc Van Gool (in Computer Vision and Pattern Recognition)
  9. David G. Lowe (in Computer Vision and Pattern Recognition)
  10. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Yuehu Liu's perspective

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

  1. Object Detection with Discriminatively Trained Part Based Models
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Global data association for multi-object tracking using network flows (2008 IEEE Conference on Computer Vision and Pattern Recognition)
  4. The Hungarian method for the assignment problem
  5. ImageNet classification with deep convolutional neural networks
  6. A Boosted Particle Filter: Multitarget Detection and Tracking (European Conference on Computer Vision)
  7. Learning to associate: HybridBoosted multi-target tracker for crowded scene
  8. Coupled Detection and Trajectory Estimation for Multi-Object Tracking (IEEE International Conference on Computer Vision)
  9. Rapid object detection using a boosted cascade of simple features
  10. Gradient-based learning applied to document recognition

Their papers