Ed Walker

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ed Walker trusts overall

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

  1. Ross B. Girshick
  2. Trevor Darrell
  3. Jitendra Malik
  4. Andrew Zisserman
  5. Karen Simonyan

Who trusts Ed Walker overall

  1. Andy Zeng

Papers from Ed Walker's perspective

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

  1. ImageNet Large Scale Visual Recognition Challenge
  2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Fully convolutional networks for semantic segmentation
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Learning Rich Features from RGB-D Images for Object Detection and Segmentation
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers