Nafissa Yakubova

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nafissa Yakubova trusts

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

  1. Eero P. Simoncelli (in Computer Vision and Pattern Recognition)
  2. A. Bovik (in Computer Vision and Pattern Recognition)
  3. Zhou Wang (in Computer Vision and Pattern Recognition)

Papers from Nafissa Yakubova's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Image quality assessment: from error visibility to structural similarity
  7. Multiscale structural similarity for image quality assessment
  8. Gradient-based learning applied to document recognition
  9. Improved Techniques for Training GANs
  10. Rethinking the Inception Architecture for Computer Vision

Their papers