Masood Dehghan

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 442 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Masood Dehghan trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Andrew Zisserman
  7. Yoshua Bengio
  8. Jia Deng
  9. Ross B. Girshick
  10. X. Zhang

Who trusts Masood Dehghan overall

  1. Ali Ayub
  2. Alan R. Wagner
  3. C. Fendley
  4. Jiaxiang Tang
  5. Xiaoqi Zhao

Papers from Masood Dehghan's perspective

Ordered by how strongly the researchers Masood Dehghan 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. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers