Sanghyun Lee

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Sanghyun Lee trusts overall

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

  1. Morgan Quigley

Who trusts Sanghyun Lee overall

  1. Yangming Shi

Papers from Sanghyun Lee's perspective

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

Their papers