Lisa Gottesfeld Brown

Computer Vision and Pattern Recognition · 2005–2018

A researcher in the Science corpus: 4 papers; trusts 193 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Lisa Gottesfeld Brown trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Ilya Sutskever
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Andrew Zisserman
  9. Yann LeCun
  10. Christian Szegedy

Who trusts Lisa Gottesfeld Brown overall

  1. Rogério Schmidt Feris

Papers from Lisa Gottesfeld Brown's perspective

Ordered by how strongly the researchers Lisa Gottesfeld Brown 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. ImageNet: A large-scale hierarchical image database
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers