Paul L. Rosin

Computer Vision and Pattern Recognition · 2001–2019

A researcher in the Science corpus: 10 papers; trusts 405 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Paul L. Rosin trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. David G. Lowe
  7. Andrew Zisserman
  8. Karen Simonyan
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Paul L. Rosin overall

  1. Lorenzo Bruzzone
  2. Francesca Bovolo
  3. Shireen Elhabian
  4. Diego Fernández-Prieto
  5. Richard J. Radke
  6. Huihui Dong
  7. Khaled M. El-Sayed
  8. Matthias Vignon
  9. Weihao Xia
  10. Srinivas Andra

Papers from Paul L. Rosin's perspective

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

Their papers