Ahmad Khan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ahmad Khan trusts overall

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

  1. David G. Lowe

Papers from Ahmad Khan's perspective

Ordered by how strongly the researchers Ahmad Khan 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. Histograms of oriented gradients for human detection
  3. Rethinking the Inception Architecture for Computer Vision
  4. Densely Connected Convolutional Networks
  5. Object recognition from local scale-invariant features
  6. Xception: Deep Learning with Depthwise Separable Convolutions
  7. ImageNet classification with deep convolutional neural networks
  8. How transferable are features in deep neural networks?
  9. Going deeper with convolutions
  10. Gradient-based learning applied to document recognition

Their papers