Baris Turkbey

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 9 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Baris Turkbey trusts overall

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

  1. Tin Kam Ho
  2. Geert J. S. Litjens

Papers from Baris Turkbey's perspective

Ordered by how strongly the researchers Baris Turkbey 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. Going deeper with convolutions
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. GENERATIVE ADVERSARIAL NETS
  6. Fully convolutional networks for semantic segmentation
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers