Hyunwoo Jo

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 Hyunwoo Jo trusts overall

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

  1. Kaiming He

Who trusts Hyunwoo Jo overall

  1. Jung-Woo Ha

Papers from Hyunwoo Jo's perspective

Ordered by how strongly the researchers Hyunwoo Jo 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. TensorFlow: A system for large-scale machine learning
  9. Convolutional Sequence to Sequence Learning
  10. YOLO9000: Better, Faster, Stronger

Their papers