Onur Özyesil

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Onur Özyesil trusts overall

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

  1. David G. Lowe
  2. Changchang Wu
  3. Yasutaka Furukawa
  4. Noah Snavely
  5. Sameer Agarwal
  6. Christopher Evans
  7. Venu Madhav Govindu
  8. S. M. Seitz
  9. Krystian Mikolajczyk
  10. Richard Szeliski

Who trusts Onur Özyesil overall

  1. Haozhe Xie
  2. Dan Wang

Papers from Onur Özyesil's perspective

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

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