Michael Grabner

Computer Vision and Pattern Recognition · 2006

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Grabner trusts overall

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

  1. Shai Avidan
  2. Fatih Murat Porikli
  3. Iain Matthews
  4. Jongwoo Lim

Who trusts Michael Grabner overall

  1. Yi Wu
  2. Naiyan Wang
  3. Ming-Hsuan Yang
  4. Boris Babenko
  5. Siyi Li
  6. Helmut Grabner
  7. Xi Li
  8. Kaihua Zhang
  9. Hyeonseob Nam
  10. Dit-Yan Yeung

Papers from Michael Grabner's perspective

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

  1. Histograms of oriented gradients for human detection
  2. Integral histogram: a fast way to extract histograms in Cartesian spaces (Computer Vision and Pattern Recognition)
  3. Real-time tracking of non-rigid objects using mean shift (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
  4. Ensemble Tracking (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  5. Support vector tracking (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  6. Detecting Pedestrians Using Patterns of Motion and Appearance (Proceedings Ninth IEEE International Conference on Computer Vision)
  7. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
  8. Learning object detection from a small number of examples: the importance of good features (Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.)
  9. ImageNet classification with deep convolutional neural networks
  10. The template update problem (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers