Sanghoon Lee

Computer Vision and Pattern Recognition · IEEE Journal on Selected Topics in Signal Processing · 2001–2019

A researcher in the Science corpus: 6 papers; trusts 486 researchers and is trusted by 33 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. A. Bovik
  2. Hamid R. Sheikh
  3. Diederik P. Kingma
  4. Zhou Wang
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Anush K. Moorthy
  9. Karen Simonyan
  10. Lin Zhang

Who trusts Sanghoon Lee overall

  1. Jongyoo Kim
  2. Stefan Winkler
  3. Hancheng Zhu
  4. Zhou Wang
  5. A. Bovik
  6. S. Alireza Golestaneh
  7. Kede Ma
  8. Shaolin Su
  9. Anh-Duc Nguyen
  10. Marios S. Pattichis

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. 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers