Scott Helmer

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Scott Helmer trusts overall

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

  1. Mark Fiala
  2. Navneet Dalal
  3. Rob Fergus
  4. Bill Triggs
  5. Li Fei-Fei
  6. Yann LeCun
  7. Andrew Zisserman
  8. Pietro Perona

Who trusts Scott Helmer overall

  1. Ziyun Cai
  2. Jungong Han

Papers from Scott Helmer's perspective

Ordered by how strongly the researchers Scott Helmer 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. Histograms of oriented gradients for human detection
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers