Oleg Naroditsky

Computer Vision and Pattern Recognition · 2004–2006

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Oleg Naroditsky trusts overall

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

  1. David Nistér
  2. Jianbo Shi
  3. Andrew J. Davison
  4. Carlo Tomasi
  5. Anders Heyden
  6. Howie Choset
  7. Saul A. Teukolsky

Who trusts Oleg Naroditsky overall

  1. Michael Kaess
  2. Mark W. Maimone
  3. Anastasios I. Mourikis
  4. Yang Cheng
  5. Andreas Ess
  6. Christian Kerl
  7. Daniel Cremers
  8. Chris Linegar
  9. Andrew J. Davison
  10. Mingyang Li

Papers from Oleg Naroditsky's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Multiple View Geometry in Computer Vision
  3. Distinctive Image Features from Scale-Invariant Keypoints
  4. A Combined Corner and Edge Detector
  5. ImageNet classification with deep convolutional neural networks
  6. Good features to track
  7. ImageNet: A large-scale hierarchical image database
  8. Obstacle avoidance and navigation in the real world by a seeing robot rover
  9. An efficient solution to the five-point relative pose problem (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers