Jin Hyung Lee

Computer Vision and Pattern Recognition · with Chaudhari · 2006–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jin Hyung Lee trusts overall

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

  1. Feng Zhang

Who trusts Jin Hyung Lee overall

  1. Lief Ericsson Fenno
  2. Karl Deisseroth
  3. Ofer Yizhar
  4. Ilana Witten

Papers from Jin Hyung Lee's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Backpropagation Applied to Handwritten Zip Code Recognition
  6. Image quality assessment: from error visibility to structural similarity
  7. Handwritten Digit Recognition with a Back-Propagation Network
  8. Learning a Deep Convolutional Network for Image Super-Resolution
  9. Accurate Image Super-Resolution Using Very Deep Convolutional Networks
  10. Image Super-Resolution Using Deep Convolutional Networks

Their papers