Gerald Friedland

Computer Vision and Pattern Recognition · 2010–2015

A researcher in the Science corpus: 7 papers; trusts 11 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Gerald Friedland trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Brent J. Hecht
  4. Alan F. Smeaton
  5. Matthijs C. Dorst
  6. Aude Oliva

Who trusts Gerald Friedland overall

  1. Ishan Misra
  2. Justin Johnson
  3. Tobias Weyand
  4. Abhinav Kumar Gupta
  5. Matthijs Douze
  6. Mathilde Caron
  7. Armand Joulin
  8. Lu Jiang
  9. Lisa Anne Hendricks
  10. Li Fei-Fei

Papers from Gerald Friedland's perspective

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

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

Their papers