Faisal Shafait

Computer Vision and Pattern Recognition · 2008–2018

A researcher in the Science corpus: 9 papers; trusts 139 researchers and is trusted by 348 researchers here, as inferred from the citation graph.

Subfields

Whom Faisal Shafait trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Simon M. M. Lucas
  5. Pavel Brazdil
  6. Kaiming He
  7. Chih-Jen Lin
  8. Paul A. Viola
  9. Lukás Neumann
  10. Yoshua Bengio

Who trusts Faisal Shafait overall

  1. Cong Yao
  2. Matthias Feurer
  3. Xiang Bai
  4. Eden Belouadah
  5. Lukás Neumann
  6. Frank Hutter
  7. Marc-André Zöller
  8. Hongjoon Ahn
  9. Katharina Eggensperger
  10. Minghui Liao

Papers from Faisal Shafait's perspective

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

Their papers