Steven P. Miller

Computer Vision and Pattern Recognition · 2007–2017

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Steven P. Miller trusts overall

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

  1. Benjamin Graham
  2. Karen Simonyan

Papers from Steven P. Miller's perspective

Ordered by how strongly the researchers Steven P. Miller trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  3. Caffe: Convolutional Architecture for Fast Feature Embedding
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers