Ho-Joon Lee

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ho-Joon Lee trusts

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

  1. Kyoung Mu Lee (in Computer Vision and Pattern Recognition)
  2. Jung Kwon Lee (in Computer Vision and Pattern Recognition)
  3. Jiwon Kim (in Computer Vision and Pattern Recognition)
  4. Xiaoou Tang (in Computer Vision and Pattern Recognition)
  5. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Ho-Joon Lee's perspective

Ordered by how strongly the researchers Ho-Joon Lee trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Learning
  2. Image quality assessment: from error visibility to structural similarity
  3. Learning long-term dependencies with gradient descent is difficult
  4. Natural Image Denoising with Convolutional Networks
  5. Image Super-Resolution Using Deep Convolutional Networks
  6. Sparse MRI: The application of compressed sensing for rapid MR imaging
  7. Accurate Image Super-Resolution Using Very Deep Convolutional Networks
  8. Image Denoising and Inpainting with Deep Neural Networks
  9. Deep Convolutional Neural Network for Image Deconvolution
  10. Deeply-Recursive Convolutional Network for Image Super-Resolution

Their papers