Belhassen Bayar

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 120 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Belhassen Bayar trusts overall

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

  1. Alex Krizhevsky
  2. Matthew Christopher Stamm
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Jessica J. Fridrich
  6. Alin C. Popescu
  7. Ilya Sutskever
  8. Yangqing Jia
  9. Christian Szegedy
  10. Yoshua Bengio

Who trusts Belhassen Bayar overall

  1. Davide Cozzolino
  2. Luisa Verdoliva
  3. Andreas Rössler
  4. Ru Zhang
  5. Xuefeng Hu
  6. Yue Wu
  7. Huy Hoang Le Nguyen
  8. Sohail Ahmed Khan
  9. Nils Hulzebosch
  10. Peng Zhou

Papers from Belhassen Bayar's perspective

Ordered by how strongly the researchers Belhassen Bayar 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers