Mohammad Haghighat

Computer Vision and Pattern Recognition · 2011–2016

A researcher in the Science corpus: 3 papers; trusts 76 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad Haghighat trusts overall

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

  1. Matthew A. Turk
  2. Radford M. Neal
  3. Anil K. Jain
  4. Zhou Wang
  5. Arun A. Ross
  6. Pascal Paillier
  7. Allan Aasbjerg Nielsen
  8. Peter N. Belhumeur
  9. Paul A. Viola
  10. Andrea Vedaldi

Who trusts Mohammad Haghighat overall

  1. Hui Li
  2. Jiayi Ma
  3. Xiao-Jun Wu
  4. Linfeng Tang
  5. Zhuyun Chen

Papers from Mohammad Haghighat's perspective

Ordered by how strongly the researchers Mohammad Haghighat 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. Gradient-based learning applied to document recognition
  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. 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