Seongsik Park

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seongsik Park trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Peter U. Diehl
  4. Wolfgang Maass
  5. Shaoqing Ren
  6. Mark A. Horowitz
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Joseph Redmon

Who trusts Seongsik Park overall

  1. Shi-Wee Deng

Papers from Seongsik Park's perspective

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

Their papers