Deborah B. Sapper

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Deborah B. Sapper trusts overall

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

  1. Bill Triggs
  2. Navneet Dalal
  3. Takeo Kanade
  4. Luc Van Gool
  5. Cordelia Schmid
  6. Bastian Leibe
  7. David G. Lowe
  8. Andrew Zisserman

Who trusts Deborah B. Sapper overall

  1. Fei-Yue Wang

Papers from Deborah B. Sapper's perspective

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

  1. Histograms of oriented gradients for human detection
  2. An Iterative Image Registration Technique with an Application to Stereo Vision
  3. Human Detection Using Oriented Histograms of Flow and Appearance
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Determining Optical Flow
  7. Kernel-Based Object Tracking
  8. Color-Based Probabilistic Tracking (European Conference on Computer Vision)
  9. Object tracking: A survey (CSUR)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers