Sanghoon Lee

Computer Vision and Pattern Recognition · with Kang · 2017

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Sanghoon Lee trusts overall

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

  1. Sepp Hochreiter

Who trusts Sanghoon Lee overall

  1. Chenyang Si

Papers from Sanghoon Lee's perspective

Ordered by how strongly the researchers Sanghoon Lee trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Going deeper with convolutions
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers