Thomas Rühr

Computer Vision and Pattern Recognition · 2011

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

Subfields

Whom Thomas Rühr trusts

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

  1. David G. Lowe (in Computer Vision and Pattern Recognition)

Papers from Thomas Rühr's perspective

Ordered by how strongly the researchers Thomas Rühr 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. Accurate Unlexicalized Parsing
  4. PDDL2.1: An Extension to PDDL for Expressing Temporal Planning Domains
  5. KNOWROB — knowledge processing for autonomous personal robots (2009 IEEE/RSJ International Conference on Intelligent Robots and Systems)
  6. Understanding and executing instructions for everyday manipulation tasks from the World Wide Web
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Layer Normalization
  9. Markov logic networks
  10. Understanding the difficulty of training deep feedforward neural networks

Their papers