Gwanggil Jeon

Computer Vision and Pattern Recognition · with Yang · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 221 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gwanggil Jeon trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Radu Timofte
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ross B. Girshick
  9. X. Zhang
  10. Jimmy Ba

Papers from Gwanggil Jeon's perspective

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

Their papers