Byungsoo Ko

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Byungsoo Ko trusts overall

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

  1. Ross B. Girshick
  2. Ilya Loshchilov
  3. Jia Deng
  4. Joseph Redmon
  5. Kaiming He
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Diederik P. Kingma
  9. Jeff Donahue
  10. Yoshua Bengio

Who trusts Byungsoo Ko overall

  1. Lvmin Zhang

Papers from Byungsoo Ko's perspective

Ordered by how strongly the researchers Byungsoo Ko trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers