Mona Mahmoudi

Computer Vision and Pattern Recognition · 2005–2010

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Mona Mahmoudi trusts overall

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

  1. David G. Lowe
  2. Peter J. Rousseeuw
  3. A. Buades
  4. Seunghyup Shin
  5. Stanley J. Osher
  6. Michael Elad
  7. Bartomeu Coll
  8. Tomoyuki Nishita
  9. Carlo Tomasi
  10. Stefan Roth

Who trusts Mona Mahmoudi overall

  1. Guy Gilboa
  2. Stanley J. Osher
  3. Xiuping Jia
  4. Matan Protter
  5. Yapeng Tian
  6. Jérôme Boulanger
  7. José Vicente Manjón
  8. Michael Elad
  9. Bor-Chen Kuo
  10. Julien Mairal

Papers from Mona Mahmoudi's perspective

Ordered by how strongly the researchers Mona Mahmoudi 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. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Bilateral filtering for gray and color images
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers