Oya Celiktutan

Computer Vision and Pattern Recognition · 2008–2014

A researcher in the Science corpus: 4 papers; trusts 39 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Oya Celiktutan trusts overall

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

  1. Ivan Laptev
  2. Wanqing Li
  3. Matteo Bregonzio
  4. David G. Lowe
  5. Jamie Shotton
  6. Cordelia Schmid
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Kaiming He
  10. Ross B. Girshick

Who trusts Oya Celiktutan overall

  1. José Ramón Padilla-López

Papers from Oya Celiktutan's perspective

Ordered by how strongly the researchers Oya Celiktutan 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers