Amir-Hossein Bakhtiary

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amir-Hossein Bakhtiary trusts overall

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

  1. Jia Deng
  2. Vincent Vanhoucke
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Thomas L. Dean
  6. Olga Russakovsky
  7. Alexander C. Berg
  8. Ilya Sutskever
  9. Li Fei-Fei
  10. Andrew W. Senior

Who trusts Amir-Hossein Bakhtiary overall

  1. Zichao Yang
  2. Marcin Moczulski
  3. Misha Denil

Papers from Amir-Hossein Bakhtiary's perspective

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

Their papers