A.-Reum Lee

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A.-Reum Lee trusts overall

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

  1. Navneet Dalal
  2. Eli Shechtman
  3. Lu Xia
  4. Wanqing Li
  5. Bill Triggs
  6. Michal Irani
  7. Zhongwei Cheng
  8. Chih-Jen Lin
  9. Zicheng Liu
  10. Daniel Weinland

Papers from A.-Reum Lee's perspective

Ordered by how strongly the researchers A.-Reum Lee 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. Histograms of oriented gradients for human detection
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers