Ulrich Klank

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 Ulrich Klank trusts overall

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

  1. Moritz Tenorth
  2. David G. Lowe
  3. Daniel Klein
  4. David Nistér

Who trusts Ulrich Klank overall

  1. Moritz Tenorth

Papers from Ulrich Klank's perspective

Ordered by how strongly the researchers Ulrich Klank 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Gradient-based learning applied to document recognition
  10. ImageNet classification with deep convolutional neural networks

Their papers