Amir Mazaheri

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 236 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Amir Mazaheri trusts overall

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

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

Who trusts Amir Mazaheri overall

  1. Zhou Zhao
  2. Youngjae Yu
  3. Jongseok Kim
  4. Tegan Maharaj
  5. Gunhee Kim
  6. Shuwen Xiao
  7. Deng Cai
  8. Nicolas Ballas
  9. Qifan Yang
  10. Yueting Zhuang

Papers from Amir Mazaheri's perspective

Ordered by how strongly the researchers Amir Mazaheri 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. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  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