Ebrahim Karami

Computer Vision and Pattern Recognition · 2017

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 Ebrahim Karami trusts overall

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

  1. R. Kwok
  2. Herbert Bay
  3. Michael Calonder
  4. Ethan Rublee
  5. David G. Lowe
  6. Vincent Lepetit
  7. Vincent Rabaud
  8. Andreas Ess
  9. Yan Ke

Who trusts Ebrahim Karami overall

  1. Niall O' Mahony

Papers from Ebrahim Karami's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. PCA-SIFT: a more distinctive representation for local image descriptors
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. BRIEF: Binary Robust Independent Elementary Features (European Conference on Computer Vision)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. ORB: An efficient alternative to SIFT or SURF

Their papers