Sangeun Oh

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 Sangeun Oh 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. Xiaoxiao Guo
  7. James K. Guest
  8. Mayu Sakurada
  9. Geoffrey E. Hinton
  10. Andrew Zisserman

Who trusts Sangeun Oh overall

  1. Lyle Regenwetter
  2. Amin Heyrani Nobari

Papers from Sangeun Oh's perspective

Ordered by how strongly the researchers Sangeun Oh 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. GENERATIVE ADVERSARIAL NETS
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers