Maryam Asadi-Aghbolaghi

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 137 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Maryam Asadi-Aghbolaghi trusts overall

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

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

Who trusts Maryam Asadi-Aghbolaghi overall

  1. Hasib Zunair

Papers from Maryam Asadi-Aghbolaghi's perspective

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

Their papers