Joel H. Saltz

Computer Vision and Pattern Recognition · 2001–2020

A researcher in the Science corpus: 9 papers; trusts 69 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Joel H. Saltz trusts overall

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

  1. Karen Simonyan
  2. Iasonas Kokkinos
  3. Geoffrey E. Hinton
  4. Andrew Zisserman
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Kaiming He
  8. Marc'Aurelio Ranzato
  9. Brendan J. Frey
  10. Yoshua Bengio

Who trusts Joel H. Saltz overall

  1. J. A. van der Laak

Papers from Joel H. Saltz's perspective

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

Their papers