Ilkay Oksuz

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ilkay Oksuz trusts overall

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

  1. Karen Simonyan
  2. Joel A. Tropp
  3. Caroline Petitjean
  4. Andrew Zisserman
  5. Pablo Arbeláez
  6. Bernhard Schölkopf
  7. Ioannis Tsochantaridis
  8. Geoffrey E. Hinton
  9. Ignacio Francisco Ramírez Paulino
  10. Philipp Krahenbuhl

Papers from Ilkay Oksuz's perspective

Ordered by how strongly the researchers Ilkay Oksuz 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers