Kihong Park

Computer Vision and Pattern Recognition · with Kim · 2000–2019

A researcher in the Science corpus: 4 papers; trusts 89 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Kihong Park trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Tsung-Yi Lin
  4. Diederik P. Kingma
  5. Shaoqing Ren
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Yoshua Bengio
  10. Jimmy Ba

Who trusts Kihong Park overall

  1. Haining Wang
  2. Rocky K. C. Chang
  3. Brett Stanley Feero
  4. Mauro Conti
  5. Jun Yu Li
  6. Jelena Mirkovic
  7. Beichuan Zhang
  8. Partha Pratim Pande
  9. Kang G. Shin
  10. Christos Douligeris

Papers from Kihong Park's perspective

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

Their papers