Jeffrey Ho

Computer Vision and Pattern Recognition · 2003–2005

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

Whom Jeffrey Ho trusts overall

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

  1. Ravi Ramamoorthi
  2. Ronen Basri
  3. Andrew Y. Ng
  4. Athinodoros S. Georghiades
  5. P. Hanrahan
  6. Hiroshi Murase
  7. Peter N. Belhumeur
  8. David W. Jacobs
  9. Michael I. Jordan
  10. Daniel D. Lee

Who trusts Jeffrey Ho overall

  1. Ehsan Elhamifar
  2. Guangcan Liu
  3. René Vidal
  4. Gilad Lerman
  5. Meng Yang
  6. Xiaofei He
  7. Zhouchen Lin
  8. Shuicheng Yan
  9. Lei Zhang
  10. Yi Ma

Papers from Jeffrey Ho's perspective

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

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

Their papers