Lacey Best-Rowden

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Lacey Best-Rowden trusts overall

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

  1. Bor-Chun Chen
  2. Paul A. Viola
  3. Arun A. Ross
  4. Patrick Grother
  5. Zhou Wang
  6. Chu-Song Chen
  7. Anil K. Jain
  8. Michael J. Jones
  9. Karl Ricanek Jr.
  10. Yaniv Taigman

Who trusts Lacey Best-Rowden overall

  1. Yi Sun
  2. Kihyuk Sohn
  3. A. Shrestha
  4. Xiaogang Wang
  5. Binghui Chen
  6. Xiang Wu
  7. Ira Kemelmacher-Shlizerman
  8. Jingtuo Liu
  9. Yaniv Taigman
  10. Xiaoou Tang

Papers from Lacey Best-Rowden's perspective

Ordered by how strongly the researchers Lacey Best-Rowden 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers