Jinseong Jang

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

• Computer Vision and Pattern Recognition — 11 citations into it
• Media Technology — 5 citations into it

Whom Jinseong Jang trusts overall

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

1. Jiwon Kim

Papers from Jinseong Jang's perspective

Ordered by how strongly the researchers Jinseong Jang 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. ImageNet classification with deep convolutional neural networks
6. Image Super-Resolution Using Deep Convolutional Networks
7. Sparse MRI: The application of compressed sensing for rapid MR imaging
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Gradient-based learning applied to document recognition
10. Accurate Image Super-Resolution Using Very Deep Convolutional Networks

Their papers

• KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images (2018) — 462 citations