Cathal Gurrin

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cathal Gurrin trusts overall

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

  1. David G. Lowe
  2. Jia Li
  3. Peter Ingwersen
  4. Herbert Bay
  5. Sebastian Deterding
  6. Yoshua Bengio
  7. Geoffrey E. Hinton
  8. Steve Hodges
  9. Kalervo Järvelin
  10. James Ze Wang

Papers from Cathal Gurrin's perspective

Ordered by how strongly the researchers Cathal Gurrin 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers