Edward Pepperell

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Edward Pepperell trusts overall

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

  1. David G. Lowe
  2. Alex Krizhevsky

Papers from Edward Pepperell's perspective

Ordered by how strongly the researchers Edward Pepperell 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. Distinctive Image Features from Scale-Invariant Keypoints
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  7. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  8. Caffe: Convolutional Architecture for Fast Feature Embedding
  9. Gradient-based learning applied to document recognition
  10. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

Their papers