Michael Himmelsbach

Computer Vision and Pattern Recognition · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Himmelsbach trusts overall

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

  1. Klaas Klasing
  2. Dirk Wollherr
  3. Frank Moosmann

Who trusts Michael Himmelsbach overall

  1. Bo Li
  2. Tixiao Shan
  3. Tongtong Chen
  4. Brendan Englot
  5. Tianlei Zhang
  6. Bin Dai
  7. Eijiro Takeuchi

Papers from Michael Himmelsbach's perspective

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

  1. A clustering method for efficient segmentation of 3D laser data
  2. Junior: The Stanford entry in the Urban Challenge
  3. Robust vehicle localization in urban environments using probabilistic maps
  4. AND T
  5. Discriminative learning of Markov random fields for segmentation of 3D scan data (Computer Vision and Pattern Recognition)
  6. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
  7. I and J
  8. Autonomous driving in urban environments: approaches, lessons and challenges
  9. Segmentation of 3D lidar data in non-flat urban environments using a local convexity criterion
  10. Mean Shift: A Robust Approach Toward Feature Space Analysis

Their papers