Peter Biber

Computer Vision and Pattern Recognition · with Haug · 2003–2014

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Biber trusts overall

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

  1. Jianbo Shi
  2. John E. Dennis Jr.
  3. Sebastian Thrun
  4. Pedro F. Felzenszwalb
  5. Marina Sokolova

Who trusts Peter Biber overall

  1. Martin Magnusson
  2. Eijiro Takeuchi
  3. Shinpei Kato
  4. Yizhak Ben-Shabat
  5. Naoki Akai
  6. Jiaolong Yang
  7. Stefan Kohlbrecher
  8. Abhishek Patil
  9. Achim J. Lilienthal
  10. Takashi Tsubouchi

Papers from Peter Biber's perspective

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

  1. Et al
  2. LabelMe: A Database and Web-Based Tool for Image Annotation
  3. Random Forests
  4. A Method for Registration of 3-D Shapes
  5. Numerical methods for unconstrained optimization and nonlinear equations
  6. Efficient Belief Propagation for Early Vision (Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.)
  7. Good features to track
  8. ImageNet classification with deep convolutional neural networks
  9. A Threshold Selection Method from Gray-Level Histograms
  10. Leaf shape based plant species recognition (Applied Mathematics and Computation)

Their papers