Sheryl Brahnam

Computer Vision and Pattern Recognition · 2005–2017

A researcher in the Science corpus: 5 papers; trusts 204 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Sheryl Brahnam trusts overall

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

  1. Tom Fawcett
  2. Joseph Weizenbaum
  3. Karen Simonyan
  4. Kaiming He
  5. Ross B. Girshick
  6. Geoffrey E. Hinton
  7. Andrea Vedaldi
  8. David G. Lowe
  9. Andrew Zisserman
  10. Alex Krizhevsky

Who trusts Sheryl Brahnam overall

  1. Hyojin Chin
  2. Anne Humeau-Heurtier
  3. Li Liu
  4. Mun Yong Yi
  5. Francesco Bianconi

Papers from Sheryl Brahnam's perspective

Ordered by how strongly the researchers Sheryl Brahnam 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers