H. Ibrahim Penekli

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Ibrahim Penekli trusts overall

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

  1. David G. Lowe
  2. Alex Krizhevsky
  3. Ondřej Chum
  4. Edward Rosten
  5. Geoffrey E. Hinton
  6. Andrew Zisserman
  7. Yangqing Jia
  8. Christian Szegedy
  9. Ilya Sutskever
  10. Clément Farabet

Papers from H. Ibrahim Penekli's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers