Ghassan Al-Regib

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 7 papers; trusts 627 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Ghassan Al-Regib trusts overall

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

  1. David G. Lowe
  2. Kaiming He
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Andrew Zisserman
  7. Yoshua Bengio
  8. Yann LeCun
  9. Christian Szegedy
  10. Ross B. Girshick

Who trusts Ghassan Al-Regib overall

  1. Jonathan Munro
  2. Khanh Nguyen
  3. Yichi Zhang
  4. Xiujun Li
  5. Dima Damen
  6. Yuankai Qi
  7. Dan Hendrycks
  8. Yicong Hong
  9. Weituo Hao

Papers from Ghassan Al-Regib's perspective

Ordered by how strongly the researchers Ghassan Al-Regib 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers