Rob Bishop

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Rob Bishop trusts overall

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

  1. Yann LeCun
  2. Matthew D. Zeiler

Who trusts Rob Bishop overall

  1. Yulun Zhang
  2. Kai Zhang

Papers from Rob Bishop's perspective

Ordered by how strongly the researchers Rob Bishop 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Going deeper with convolutions
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Fully convolutional networks for semantic segmentation
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers