Kashif Ahmad

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kashif Ahmad trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Christian Szegedy
  6. Jia Deng
  7. Andrew Zisserman
  8. Ilya Sutskever
  9. X. Zhang
  10. Bolei Zhou

Who trusts Kashif Ahmad overall

  1. Patrick Helber
  2. Benjamin Bischke

Papers from Kashif Ahmad's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Going deeper with convolutions
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers