Rakesh Kumar

Computer Vision and Pattern Recognition · with Sawhney · 2002–2006

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Rakesh Kumar trusts overall

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

  1. Yair Weiss

Who trusts Rakesh Kumar overall

  1. Norbert Haala
  2. Aparajithan Sampath
  3. Mubarak Shah
  4. Tao Zhao
  5. Robert R. Lipman
  6. Saad M. Khan
  7. Sohaib Khan
  8. Herv'e J'egou
  9. Viorica Patraucean

Papers from Rakesh Kumar's perspective

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

  1. Object recognition from local scale-invariant features
  2. A Combined Corner and Edge Detector
  3. Similarity Search in High Dimensions via Hashing
  4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  5. A Method for Registration of 3-D Shapes
  6. Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
  7. A unified mixture framework for motion segmentation: incorporating spatial coherence and estimating the number of models
  8. COSMOS - A Representation Scheme for 3D Free-Form Objects
  9. LSH forest: self-tuning indexes for similarity search
  10. Point Signatures: A New Representation for 3D Object Recognition

Their papers