Mohammad Amin Sadeghi

Computer Vision and Pattern Recognition · 2010–2014

A researcher in the Science corpus: 3 papers; trusts 272 researchers and is trusted by 2,759 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad Amin Sadeghi trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Ross B. Girshick
  3. Piotr Doll'ar
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. David A. McAllester
  7. Alex Krizhevsky
  8. Deva Ramanan
  9. Ian Endres
  10. Herv'e J'egou

Who trusts Mohammad Amin Sadeghi overall

  1. Wanli Ouyang
  2. Yi Yang
  3. Deva Ramanan
  4. Xiaogang Wang
  5. C. Lawrence Zitnick
  6. Abhinav Kumar Gupta
  7. Devi Parikh
  8. Li Fei-Fei
  9. Hanwang Zhang
  10. Bernt Schiele

Papers from Mohammad Amin Sadeghi's perspective

Ordered by how strongly the researchers Mohammad Amin Sadeghi 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