Muhittin Gokmen

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 188 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Muhittin Gokmen trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Wei Li
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Christian Szegedy
  8. Karen Simonyan
  9. Liang Zheng
  10. Yann LeCun

Papers from Muhittin Gokmen's perspective

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

Their papers