Gökhan H. Bakir

Computer Vision and Pattern Recognition · 2003–2008

A researcher in the Science corpus: 7 papers; trusts 142 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Gökhan H. Bakir trusts overall

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

  1. C. Burges
  2. Yasemin Altun
  3. Huma Mahmood Lodhi
  4. Bernhard Schölkopf
  5. Christina S. Leslie
  6. Mark Everingham
  7. Andrew Zisserman
  8. Geoffrey E. Hinton
  9. John Shawe-Taylor
  10. Ivan Laptev

Who trusts Gökhan H. Bakir overall

  1. Matthew B. Blaschko
  2. Liva Ralaivola
  3. Christoph H. Lampert
  4. Alex Kulesza
  5. Sebastian Nowozin
  6. Luca Baldassarre
  7. Sarvesh Vishwakarma
  8. Florence d'Alché-Buc
  9. Javen Qinfeng Shi
  10. Zhe L. Lin

Papers from Gökhan H. Bakir's perspective

Ordered by how strongly the researchers Gökhan H. Bakir 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. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers