Parnian Afshar

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Parnian Afshar trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Jun Cheng
  5. Justin S. Paul
  6. Ilya Sutskever
  7. Jimmy Ba
  8. Yann LeCun
  9. Yoshua Bengio
  10. Sara Sabour

Who trusts Parnian Afshar overall

  1. Samir S. Yadav
  2. Wadhah Ayadi
  3. Fatemeh Haghighat
  4. Milica M. Badža
  5. Shivajirao Manikrao Jadhav
  6. Hossam H. Sultan
  7. Ferhat Ucar
  8. Soheila Saeedi
  9. Wajdi Elhamzi
  10. Ali Narin

Papers from Parnian Afshar's perspective

Ordered by how strongly the researchers Parnian Afshar 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers