Youngkwan Kim

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Youngkwan Kim trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Who trusts Youngkwan Kim

  1. Jung-Woo Ha (in Artificial Intelligence)

Papers from Youngkwan Kim's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Densely Connected Convolutional Networks
  6. Automatic differentiation in PyTorch
  7. Deep Learning
  8. Convolutional Sequence to Sequence Learning
  9. YOLO9000: Better, Faster, Stronger
  10. TensorFlow: A system for large-scale machine learning

Their papers