Ryan S. Overbeck

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan S. Overbeck trusts overall

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

  1. Charles Ruizhongtai Qi
  2. John Flynn
  3. Diederik P. Kingma
  4. Andrew Zisserman
  5. Nima Khademi Kalantari
  6. Karen Simonyan

Papers from Ryan S. Overbeck's perspective

Ordered by how strongly the researchers Ryan S. Overbeck trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers