Leo J. Grady

Computer Vision and Pattern Recognition · 2005–2017

A researcher in the Science corpus: 7 papers; trusts 233 researchers and is trusted by 3,077 researchers here, as inferred from the citation graph.

Subfields

Whom Leo J. Grady trusts overall

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

  1. Yuri Boykov
  2. Jianbo Shi
  3. Mark Newman
  4. Teofilo F. Gonzalez
  5. Carsten Rother
  6. Vladimir Kolmogorov
  7. Jitendra Malik
  8. Anat Levin
  9. Andrew Blake
  10. John M. Winn

Who trusts Leo J. Grady overall

  1. Tae Hoon Kim
  2. Brian L. Price
  3. Xue Bai
  4. Guy Gilboa
  5. Jianbing Shen
  6. Dim P. Papadopoulos
  7. Konstantin Sofiiuk
  8. Katerina Fragkiadaki
  9. J. Liew
  10. Scott D. Cohen

Papers from Leo J. Grady's perspective

Ordered by how strongly the researchers Leo J. Grady 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. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers