Sunggyun Park

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 5 papers; trusts 557 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Sunggyun Park trusts overall

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

  1. Alex Krizhevsky
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Yann LeCun
  6. David G. Lowe
  7. Christian Szegedy
  8. Andrew Zisserman
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Sunggyun Park overall

  1. Liang Zheng
  2. Zhaowei Cai
  3. Yanming Guo
  4. Yu-Huan Wu
  5. Luis Herranz
  6. Yi Yang
  7. Zhong-Qiu Zhao
  8. Rafael Padilla
  9. Zhonghe Ren

Papers from Sunggyun Park's perspective

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

Their papers