Mohamed Chaouch

Computer Vision and Pattern Recognition · 2008–2017

A researcher in the Science corpus: 2 papers; trusts 161 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed Chaouch trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Pedro F. Felzenszwalb
  6. Christian Szegedy
  7. Yann LeCun
  8. Karen Simonyan
  9. Yu Xiang
  10. Yoshua Bengio

Who trusts Mohamed Chaouch overall

  1. Xinzhu Ma
  2. Shaoshuai Shi
  3. Hervé Cardot
  4. Shichao Yang
  5. Bin Xu
  6. Xingyi Zhou
  7. Yunpeng Zhang
  8. Vishwanath A. Sindagi
  9. Thomas Roddick
  10. Abhijit Kundu

Papers from Mohamed Chaouch's perspective

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

Their papers