Amir Ebrahimighahnavieh

Computer Vision and Pattern Recognition · 2019

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

Subfields

Whom Amir Ebrahimighahnavieh trusts overall

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

  1. Heung-Il Suk
  2. Kaiming He
  3. Dinggang Shen
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Christian Szegedy
  9. Barbara A. Kitchenham
  10. Ilya Sutskever

Who trusts Amir Ebrahimighahnavieh overall

  1. Xinle Liang
  2. Yang Liu

Papers from Amir Ebrahimighahnavieh's perspective

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

Their papers