Hanoona Abdul Rasheed

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 4 papers; trusts 286 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hanoona Abdul Rasheed trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Andrew Zisserman

Who trusts Hanoona Abdul Rasheed overall

  1. Yi Wang
  2. Kunchang Li
  3. Bin Lin
  4. Yanwei Li
  5. Peng Jin
  6. An-Chieh Cheng
  7. Bin Huang

Papers from Hanoona Abdul Rasheed's perspective

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

Their papers