David Whitney

Computer Vision and Pattern Recognition · with Fischer · 2011–2021

A researcher in the Science corpus: 3 papers; trusts 95 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Whitney trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Felix Wichmann
  4. Tero Karras
  5. Leon A. Gatys
  6. Vincent Dumoulin
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Andrew Zisserman
  10. Yoshua Bengio

Papers from David Whitney's perspective

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

Their papers