Ozan Öktem

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 211 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Ozan Öktem trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Yoshua Bengio
  5. Tal Schuster
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Xavier Glorot
  9. Jimmy Ba
  10. Ilya Sutskever

Who trusts Ozan Öktem overall

  1. Shuhao Cao
  2. Tianlong Chen
  3. Jonas Adler
  4. John Flynn
  5. Yoseob Han
  6. Andreas Hauptmann
  7. Nikola B. Kovachki
  8. Jun Shu
  9. Vishal Monga
  10. Zong-Yi Li

Papers from Ozan Öktem's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers