Yongsu Jung

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongsu Jung trusts overall

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

  1. Ole Sigmund
  2. Sivam Krish
  3. Karen Simonyan
  4. Yann LeCun
  5. Alec Radford
  6. James K. Guest
  7. Xiaoxiao Guo
  8. Mayu Sakurada
  9. Geoffrey E. Hinton
  10. Andrew Zisserman

Who trusts Yongsu Jung overall

  1. Lyle Regenwetter

Papers from Yongsu Jung's perspective

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

Their papers