Kaan Yücer

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kaan Yücer trusts overall

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

  1. David G. Lowe
  2. Simon Baker
  3. Raanan Fattal
  4. Dani Lischinski
  5. Erling D. Andersen
  6. Anat Levin
  7. Eli Shechtman
  8. Connelly Barnes
  9. Ce Liu
  10. Mark Meyer

Papers from Kaan Yücer's perspective

Ordered by how strongly the researchers Kaan Yücer 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. Distinctive Image Features from Scale-Invariant Keypoints
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Going deeper with convolutions
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers