Ali Elqursh

Computer Vision and Pattern Recognition · 2017–2025

A researcher in the Science corpus: 3 papers; trusts 257 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Elqursh trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Karen Simonyan
  6. Kaiming He
  7. Ilya Sutskever
  8. Sepp Hochreiter
  9. Yann LeCun
  10. Jimmy Ba

Who trusts Ali Elqursh overall

  1. Damien Teney
  2. Peter Anderson
  3. Kushal Kafle
  4. Marco Tulio Ribeiro
  5. Yan Zhang
  6. Xiaodong He
  7. Hexiang Hu
  8. Varun Manjunatha
  9. Vinod Kumar Kurmi
  10. Tongshuang Sherry Wu

Papers from Ali Elqursh's perspective

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

Their papers