Shaharyar Ahmed Khan Tareen

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shaharyar Ahmed Khan Tareen trusts overall

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

  1. David G. Lowe
  2. Pablo Fernández Alcantarilla
  3. Ondřej Chum
  4. Edward Rosten
  5. Stefan Leutenegger
  6. Herbert Bay
  7. Michael Calonder
  8. Ethan Rublee
  9. Krystian Mikolajczyk
  10. Adrien Bartoli

Papers from Shaharyar Ahmed Khan Tareen's perspective

Ordered by how strongly the researchers Shaharyar Ahmed Khan Tareen 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers