Georg Schroth

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Georg Schroth trusts overall

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

  1. Simon M. M. Lucas
  2. David G. Lowe
  3. David Nistér

Who trusts Georg Schroth overall

  1. Yingying Zhu
  2. Max Jaderberg
  3. Cong Yao

Papers from Georg Schroth's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Scalable Recognition with a Vocabulary Tree
  3. A Comparison of Affine Region Detectors
  4. Robust wide-baseline stereo from maximally stable extremal regions
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. ICDAR 2003 robust reading competitions
  8. A Computational Approach to Edge Detection
  9. Detecting and reading text in natural scenes (Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.)
  10. Gradient-based learning applied to document recognition

Their papers