Mica Arie-Nachimson

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mica Arie-Nachimson trusts overall

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

  1. David G. Lowe
  2. Amit Singer
  3. Yasutaka Furukawa
  4. Manolis I. A. Lourakis
  5. Dan Martinec
  6. Noah Snavely
  7. Changchang Wu
  8. S. M. Seitz
  9. Christoph Strecha
  10. Richard Szeliski

Who trusts Mica Arie-Nachimson overall

  1. Kyle Wilson
  2. Onur Özyesil
  3. Noah Snavely
  4. Vladislav Voroninski

Papers from Mica Arie-Nachimson's perspective

Ordered by how strongly the researchers Mica Arie-Nachimson trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Multiple View Geometry in Computer Vision
  4. Online Submission ID: 0184 Photo Tourism: Exploring Photo Collections in 3D
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Building Rome in a day
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers