Saeed Afshar

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Saeed Afshar trusts overall

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

  1. Patrick Grother
  2. Alex Krizhevsky
  3. Yann LeCun
  4. G. Huang
  5. Adam Coates
  6. L. Eon Bottou
  7. A. van Schaik
  8. Yoshua Bengio
  9. Garrick Orchard
  10. Geoffrey E. Hinton

Who trusts Saeed Afshar overall

  1. Peter Sorrenson
  2. Peter Kairouz
  3. Wenpeng Hu
  4. Tzu-Ming Harry Hsu
  5. Matthias Hein
  6. Krishna Pillutla
  7. Yutao Huang
  8. Nanqing Dong
  9. Jerry Ma
  10. Ademola Enitan Ilesanmi

Papers from Saeed Afshar's perspective

Ordered by how strongly the researchers Saeed Afshar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Learning Multiple Layers of Features from Tiny Images
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Reading Digits in Natural Images with Unsupervised Feature Learning
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers