Mehdi Mokhtarzade

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Mehdi Mokhtarzade trusts overall

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

  1. Matthijs C. Dorst
  2. Cordelia Schmid
  3. Yan Ke
  4. Jing Li
  5. Marko Heikkilä

Who trusts Mehdi Mokhtarzade overall

  1. Jiayuan Li
  2. Xingyu Jiang
  3. Flora Dellinger

Papers from Mehdi Mokhtarzade's perspective

Ordered by how strongly the researchers Mehdi Mokhtarzade 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. A performance evaluation of local descriptors
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers