Seoung Wug Oh

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 817 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Seoung Wug Oh trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. X. Zhang
  7. Yoshua Bengio
  8. Shaoqing Ren
  9. Yann LeCun
  10. Karen Simonyan

Who trusts Seoung Wug Oh overall

  1. Ho Kei Cheng
  2. Paul Voigtlaender
  3. Wenguan Wang
  4. Joon-Young Lee
  5. Zongxin Yang
  6. Seonguk Seo
  7. Dahun Kim
  8. Ali Athar
  9. Yuxi Li
  10. Xinkai Lu

Papers from Seoung Wug Oh's perspective

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

Their papers