Amir Rasouli

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 334 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Amir Rasouli trusts overall

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

  1. Piotr Doll'ar
  2. Alex Krizhevsky
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Andreas Geiger
  7. Jia Deng
  8. Ilya Sutskever
  9. Andrew Zisserman
  10. Ross B. Girshick

Who trusts Amir Rasouli overall

  1. John K. Tsotsos
  2. Tobias Fischer
  3. Edward Schmerling
  4. Daniel Omeiza
  5. Hyung Jin Chang
  6. Umberto Michieli
  7. Karen Leung

Papers from Amir Rasouli's perspective

Ordered by how strongly the researchers Amir Rasouli 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers