Berkman Sahiner

Computer Vision and Pattern Recognition · 2002–2020

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Berkman Sahiner trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Kaiming He
  7. J. Urgen Schmidhuber
  8. Matthew D. Zeiler
  9. Sepp Hochreiter
  10. Diederik P. Kingma

Who trusts Berkman Sahiner overall

  1. Heang-Ping Chan
  2. Sweta Bhattacharya
  3. Ingrid C. Sluimer

Papers from Berkman Sahiner's perspective

Ordered by how strongly the researchers Berkman Sahiner 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers