Maher Jridi

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maher Jridi trusts overall

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

  1. Heiko Hoffmann
  2. Karen Simonyan
  3. Matthew A. Turk
  4. Jianguo Zhang
  5. Alexandre Alahi
  6. Ajmal Saeed Mian
  7. Juwei Lu
  8. Clemens Seibold
  9. Andrew Zisserman

Papers from Maher Jridi's perspective

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

Their papers