Keunhong Park

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 123 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keunhong Park trusts overall

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

  1. Diederik P. Kingma
  2. Vincent Sitzmann
  3. Justus Thies
  4. Michael Zollhöfer
  5. Jonathan T. Barron
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Kaiming He
  9. Lars M. Mescheder
  10. Michael Niemeyer

Who trusts Keunhong Park overall

  1. Yufeng Zheng
  2. Jiemin Fang
  3. Qiangeng Xu
  4. Yuanbo Xiangli
  5. Zexiang Xu
  6. Ziyi Yang
  7. Kyle Gao
  8. Taoran Yi
  9. Yang Hong
  10. Dor Verbin

Papers from Keunhong Park's perspective

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

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

Their papers