Nenad Gucunski

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nenad Gucunski trusts overall

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

  1. David G. Lowe
  2. Pedro M. Domingos
  3. Matthijs C. Dorst

Papers from Nenad Gucunski's perspective

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

  1. Object recognition from local scale-invariant features
  2. Random Forests
  3. The Laplacian Pyramid as a Compact Image Code
  4. Experiments with a New Boosting Algorithm
  5. Support-Vector Networks
  6. Distinctive Image Features from Scale-Invariant Keypoints Abstract by Matthijs Dorst Based on the paper by
  7. Bundle Adjustment in the Large (European Conference on Computer Vision)
  8. The WEKA data mining software: an update
  9. Local Laplacian filters: edge-aware image processing with a Laplacian pyramid (ACM Transactions on Graphics)
  10. An Algorithm for Least-Squares Estimation of Nonlinear Parameters

Their papers