Zahid Ullah

Computer Vision and Pattern Recognition · 2011–2021

A researcher in the Science corpus: 4 papers; trusts 74 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Zahid Ullah trusts overall

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

  1. Alex Krizhevsky
  2. Kirsti Ala-Mutka
  3. Kaiming He
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Christian Szegedy
  7. Yoav Freund
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Andrew Zisserman

Who trusts Zahid Ullah overall

  1. Akmalbek Bobomirzaevich Abdusalomov

Papers from Zahid Ullah's perspective

Ordered by how strongly the researchers Zahid Ullah 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. Gradient-based learning applied to document recognition
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers