Ben Talbot

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Talbot trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton

Papers from Ben Talbot's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Backpropagation Applied to Handwritten Zip Code Recognition
  6. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  7. Gradient-based learning applied to document recognition
  8. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  9. Caffe: Convolutional Architecture for Fast Feature Embedding
  10. ImageNet: A large-scale hierarchical image database

Their papers