Dongjun Kim

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 283 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dongjun Kim trusts overall

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

  1. Diederik P. Kingma
  2. Yang Song
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Jonathan Ho
  6. Yoshua Bengio
  7. Tero Karras
  8. Kaiming He
  9. Max Welling
  10. Yann LeCun

Who trusts Dongjun Kim overall

  1. Tianwei Yin
  2. Tim Dockhorn
  3. Arash Vahdat
  4. Axel Sauer
  5. Ling Yang
  6. Zhengyang Geng
  7. Qinsheng Zhang
  8. Karsten Kreis

Papers from Dongjun Kim's perspective

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

Their papers