Baris Kayalibay

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 223 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Baris Kayalibay trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Matthew D. Zeiler
  6. Yann LeCun
  7. Karen Simonyan
  8. Christian Szegedy
  9. Yoshua Bengio
  10. Ilya Sutskever

Who trusts Baris Kayalibay overall

  1. Md. Zahangir Alom
  2. Fabian Isensee
  3. Satya Prakash Singh
  4. Yao Qin
  5. C. Yakopcic
  6. Sungwoong Kim
  7. Mahmudul Hasan
  8. Adrian Galdran
  9. P. Kickingereder
  10. Tarek M. Taha

Papers from Baris Kayalibay's perspective

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

Their papers