Sima Taheri

Computer Vision and Pattern Recognition · 2012–2015

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sima Taheri trusts overall

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

  1. P. Jonathon Phillips
  2. Kuang-chih Lee
  3. Anat Levin
  4. Sundaresh Ram
  5. Timo Ahonen
  6. Jihun Ham
  7. Pavan K. Turaga
  8. Pierre-Antoine Absil
  9. Kyle A. Gallivan
  10. Simon Baker

Who trusts Sima Taheri overall

  1. Changxing Ding
  2. Richard McPherson

Papers from Sima Taheri's perspective

Ordered by how strongly the researchers Sima Taheri 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. Going deeper with convolutions
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers