Stephanie M. Lowry

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stephanie M. Lowry trusts overall

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

  1. David G. Lowe
  2. Michael Milford
  3. Aude Oliva
  4. Yann LeCun
  5. Antonio Torralba
  6. Mark Joseph Cummins
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. Li Fei-Fei

Who trusts Stephanie M. Lowry overall

  1. Giseop Kim
  2. Jake Bruce
  3. Renaud Dubé
  4. Lei Tai
  5. Guoquan Huang
  6. Sunwook Choi
  7. Ayoung Kim

Papers from Stephanie M. Lowry's perspective

Ordered by how strongly the researchers Stephanie M. Lowry 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. 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. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers