Bryan James Prosser

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Bryan James Prosser trusts overall

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

  1. Thorsten Joachims
  2. Cordelia Schmid
  3. Olivier Chapelle
  4. Douglas T. Gray
  5. Niloofar Gheissari
  6. Xiaogang Wang
  7. Thomas B. Sebastian
  8. S. Sathiya Keerthi
  9. Shane Brennan
  10. Geoffrey E. Hinton

Who trusts Bryan James Prosser overall

  1. Xiaogang Wang
  2. Rui Zhao
  3. Wei Li
  4. Shaogang Gong
  5. Dong Yi
  6. Shengcai Liao
  7. Chi Su
  8. Riccardo Satta
  9. Liang Zheng
  10. Tong Xiao

Papers from Bryan James Prosser's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers