Dahun Kim

Computer Vision and Pattern Recognition · 2018–2025

A researcher in the Science corpus: 8 papers; trusts 1,500 researchers and is trusted by 189 researchers here, as inferred from the citation graph.

Subfields

Whom Dahun Kim trusts overall

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

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

Who trusts Dahun Kim overall

  1. Longlong Jing
  2. Yingli Tian
  3. Jiangliu Wang
  4. Chengxu Zhuang
  5. Christoph Feichtenhofer
  6. Nantheera Anantrasirichai
  7. T. Mundhenk
  8. Yixiong Zou
  9. Jonathan C. Stroud
  10. Yiyi Liao

Papers from Dahun Kim's perspective

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

Their papers