Neil Birkbeck

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Neil Birkbeck trusts overall

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

  1. A. Bovik
  2. Anush K. Moorthy
  3. Anish Mittal
  4. Michele A. Saad
  5. Zhou Wang
  6. Hamid R. Sheikh
  7. Deepti Ghadiyaram
  8. Rajiv Soundararajan
  9. Chih-Jen Lin
  10. Daniel L. Ruderman

Who trusts Neil Birkbeck overall

  1. Haoning Wu

Papers from Neil Birkbeck's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Image quality assessment: from error visibility to structural similarity
  10. Learning Multiple Layers of Features from Tiny Images

Their papers