R. Channing Moore

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 6 papers; trusts 120 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom R. Channing Moore trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Kaiming He
  5. Nitish Srivastava
  6. Jimmy Ba
  7. Andrew Zisserman
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts R. Channing Moore overall

  1. Eduardo Fonseca
  2. Luyu Wang
  3. Xavier Favory
  4. Aren Jansen
  5. David F. Harwath
  6. Qiuqiang Kong
  7. D. Ellis
  8. Bowen Shi

Papers from R. Channing Moore's perspective

Ordered by how strongly the researchers R. Channing Moore 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. ImageNet Large Scale Visual Recognition Challenge
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. Gradient-based learning applied to document recognition

Their papers