Gultekin Butun

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gultekin Butun trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  4. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  5. Andrea Vedaldi (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Gultekin Butun's perspective

Ordered by how strongly the researchers Gultekin Butun trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Caffe: Convolutional Architecture for Fast Feature Embedding
  4. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
  5. FaceNet: A unified embedding for face recognition and clustering
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Web-scale training for face identification
  10. Deep Face Recognition

Their papers