Joshua L. Moore

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joshua L. Moore trusts overall

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

  1. Radford M. Neal
  2. David G. Lowe
  3. Michael I. Jordan
  4. Li Fei-Fei
  5. Christoph H. Lampert
  6. Julia A. Lasserre
  7. Rob Fergus

Who trusts Joshua L. Moore overall

  1. Tucker Hermans
  2. Vladimir G. Kim

Papers from Joshua L. Moore's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Distinctive Image Features from Scale-Invariant Keypoints
  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. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers