Mohamed Arselene Ayari

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed Arselene Ayari trusts

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

  1. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Quoc V. Le (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Mohamed Arselene Ayari's perspective

Ordered by how strongly the researchers Mohamed Arselene Ayari trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Rethinking the Inception Architecture for Computer Vision
  3. Densely Connected Convolutional Networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. Visualizing Data using t-SNE
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Gradient-based learning applied to document recognition

Their papers