Keelin Murphy

Computer Vision and Pattern Recognition · 2009–2021

A researcher in the Science corpus: 6 papers; trusts 32 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Keelin Murphy trusts overall

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

  1. John F. Canny
  2. Thomas M. Cover
  3. Stefan Klein
  4. Anil K. Jain
  5. Ingrid C. Sluimer
  6. Torsten Rohlfing
  7. Daniel Rueckert
  8. Josien P. W. Pluim
  9. Ross B. Girshick
  10. Brian B. Avants

Who trusts Keelin Murphy overall

  1. Torsten Rohlfing
  2. Wentao Zhu
  3. Juan Eugenio Iglesias
  4. Arnaud Arindra Adiyoso Setio
  5. Brian B. Avants
  6. András P. Keszei
  7. Mattias Paul Heinrich
  8. Aristeidis Sotiras
  9. B. van Ginneken

Papers from Keelin Murphy's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers