Hamid Karimi-Rouzbahani

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hamid Karimi-Rouzbahani trusts overall

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

  1. Alex Krizhevsky
  2. Ha Hong
  3. Daniel L. K. Yamins
  4. Seyed-Mahdi Khaligh-Razavi
  5. David G. Lowe
  6. Geoffrey E. Hinton
  7. Ilya Sutskever
  8. James J. DiCarlo
  9. Franccois Fleuret
  10. Nikolaus Kriegeskorte

Papers from Hamid Karimi-Rouzbahani's perspective

Ordered by how strongly the researchers Hamid Karimi-Rouzbahani 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers