Ali K. Thabet

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 7 papers; trusts 1,032 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Ali K. Thabet 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. Karen Simonyan
  7. Yoshua Bengio
  8. Yann LeCun
  9. Andrew Zisserman
  10. Ilya Sutskever

Who trusts Ali K. Thabet overall

  1. Guohao Li
  2. Linfeng Zhang
  3. Xingyu Xie
  4. Yunsheng Shi
  5. Chengxuan Ying
  6. Dexiong Chen
  7. Bernard Ghanem
  8. Chen Cai
  9. Lingxiao Zhao

Papers from Ali K. Thabet's perspective

Ordered by how strongly the researchers Ali K. Thabet 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. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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