Catherine Wah

Computer Vision and Pattern Recognition · 2010–2014

A researcher in the Science corpus: 8 papers; trusts 544 researchers and is trusted by 4,019 researchers here, as inferred from the citation graph.

Subfields

Whom Catherine Wah trusts overall

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

  1. Steve Branson
  2. Pedro F. Felzenszwalb
  3. Andrew Zisserman
  4. Andrea Vedaldi
  5. Geoffrey E. Hinton
  6. Pietro Perona
  7. Alex Krizhevsky
  8. Antonio Torralba
  9. Kaiming He
  10. David G. Lowe

Who trusts Catherine Wah overall

  1. Han-Jia Ye
  2. Quanshi Zhang
  3. Trevor Darrell
  4. Li Fei-Fei
  5. Serge J. Belongie
  6. Jonathan Krause
  7. Yi Yang
  8. Dacheng Tao
  9. Andrea Vedaldi
  10. Zeynep Akata

Papers from Catherine Wah's perspective

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

Their papers