Fatma Güney

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 4 papers; trusts 1,442 researchers and is trusted by 140 researchers here, as inferred from the citation graph.

Subfields

Whom Fatma Güney trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Andreas Geiger
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Karen Simonyan
  8. Andrew Zisserman
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Fatma Güney overall

  1. Andreas Geiger
  2. Simon Niklaus
  3. Junhwa Hur
  4. Ali O. Ulusoy
  5. Michael J. Black
  6. David Stutz
  7. Anurag Ranjan
  8. Joel Janai
  9. Jure Zbontar
  10. Jia-Ren Chang

Papers from Fatma Güney's perspective

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

Their papers