Krista Hupman

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 86 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Krista Hupman trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Christian Szegedy
  4. Diederik P. Kingma
  5. Sergey Ioffe
  6. Shaoqing Ren
  7. Alex Krizhevsky
  8. Ross B. Girshick
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Krista Hupman overall

  1. Cameron Trotter
  2. Soren Bouma

Papers from Krista Hupman's perspective

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

Their papers