Afshin Dehghan

Computer Vision and Pattern Recognition · 2012–2021

A researcher in the Science corpus: 5 papers; trusts 318 researchers and is trusted by 82 researchers here, as inferred from the citation graph.

Subfields

Whom Afshin Dehghan trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Ross B. Girshick
  3. Daniel Scharstein
  4. Kaiming He
  5. Anton Andriyenko
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. David G. Lowe
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Afshin Dehghan overall

  1. Liang Zheng
  2. Shijie Sun
  3. Longyin Wen
  4. Qi Chu
  5. Siyu Tang
  6. Wanli Ouyang
  7. Wenhan Luo
  8. Amir Zamir
  9. Anton Milan
  10. Mubarak Shah

Papers from Afshin Dehghan's perspective

Ordered by how strongly the researchers Afshin 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers