Sukmin Yun

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 539 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sukmin Yun trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Yann LeCun
  7. Christian Szegedy
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Jia Deng

Who trusts Sukmin Yun overall

  1. Jianping Gou
  2. Mingi Ji
  3. Chuanguang Yang
  4. Yueming Lyu
  5. Jörgen Valk
  6. Baosheng Yu

Papers from Sukmin Yun's perspective

Ordered by how strongly the researchers Sukmin Yun 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers