Junsik Kim

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 405 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Junsik Kim trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Andrew Zisserman
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Junsik Kim overall

  1. Ruohan Gao

Papers from Junsik Kim's perspective

Ordered by how strongly the researchers Junsik Kim 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers