Grant J. Scott

Computer Vision and Pattern Recognition · 2007–2017

A researcher in the Science corpus: 3 papers; trusts 104 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Grant J. Scott trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Radford M. Neal
  4. Geoffrey E. Hinton
  5. Yi Yang
  6. Christian Szegedy
  7. Ilya Sutskever
  8. Yangqing Jia
  9. Dengxin Dai
  10. Yoshua Bengio

Who trusts Grant J. Scott overall

  1. M. Mohammadi
  2. Ilke Demir
  3. Ala Al-Fuqaha
  4. Krzysztof Koperski
  5. Sameh Sorour
  6. M. Wulder
  7. Mohsen Guizani
  8. David Lindenbaum
  9. Richard A. Marcum

Papers from Grant J. Scott's perspective

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

Their papers