Michael Gharbi

Computer Vision and Pattern Recognition · 2016–2024

A researcher in the Science corpus: 7 papers; trusts 578 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Gharbi trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Andrew Zisserman

Who trusts Michael Gharbi overall

  1. Syed Waqas Zamir
  2. Qifeng Chen
  3. Jianrui Cai
  4. Kai Zhang
  5. S. M. Mousavi
  6. Zachary E. Ross
  7. Huikai Wu
  8. Amin Jourabloo
  9. Di Kang
  10. Aditya Arora

Papers from Michael Gharbi's perspective

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

Their papers