Frank Lindseth

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 376 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Frank Lindseth trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Tero Karras
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Yann LeCun
  9. Karen Simonyan
  10. Ilya Sutskever

Papers from Frank Lindseth's perspective

Ordered by how strongly the researchers Frank Lindseth 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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