Ecem Sogancioglu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ecem Sogancioglu trusts overall

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

  1. Ross B. Girshick
  2. Karen Simonyan
  3. Olivier Bodenreider
  4. Alex Krizhevsky
  5. Kaiming He
  6. Geoffrey E. Hinton
  7. Andrew Zisserman
  8. Yann LeCun
  9. Yoshua Bengio
  10. Ilya Sutskever

Papers from Ecem Sogancioglu's perspective

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

Their papers