Brian G. Booth

Computer Vision and Pattern Recognition · 2017

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

Subfields

Whom Brian G. Booth trusts

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

  1. Benjamin Graham (in Computer Vision and Pattern Recognition)

Papers from Brian G. Booth's perspective

Ordered by how strongly the researchers Brian G. Booth 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. Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
  5. Spectral Networks and Locally Connected Networks on Graphs
  6. Deep Convolutional Networks on Graph-Structured Data
  7. Spatially-sparse convolutional neural networks
  8. ImageNet classification with deep convolutional neural networks
  9. Manifold Learning of Brain MRIs by Deep Learning
  10. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

Their papers