Se-Young Oh

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Se-Young Oh trusts

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

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

Papers from Se-Young Oh's perspective

Ordered by how strongly the researchers Se-Young Oh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Object recognition from local scale-invariant features
  2. Notes on the OpenSURF Library
  3. FrameSLAM: From Bundle Adjustment to Real-Time Visual Mapping (IEEE Transactions on robotics)
  4. Close-range scene segmentation and reconstruction of 3D point cloud maps for mobile manipulation in domestic environments
  5. Real-Time Plane Segmentation Using RGB-D Cameras (Robot Soccer World Cup)
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. An Affine Invariant Interest Point Detector (European Conference on Computer Vision)
  8. Rapid object detection using a boosted cascade of simple features
  9. A Combined Corner and Edge Detector
  10. Scalable Recognition with a Vocabulary Tree

Their papers