Yue-ting Chen

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it

Whom Yue-ting Chen trusts

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

1. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Yue-ting Chen's perspective

Ordered by how strongly the researchers Yue-ting Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Accurate Image Super-Resolution Using Very Deep Convolutional Networks
3. Image Super-Resolution Using Deep Convolutional Networks
4. DiffWave: A Versatile Diffusion Model for Audio Synthesis
5. SRFlow: Learning the Super-Resolution Space with Normalizing Flow
6. Multi-scale Residual Network for Image Super-Resolution (European Conference on Computer Vision)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. ImageNet classification with deep convolutional neural networks
9. Gradient-based learning applied to document recognition
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models (2021) — 889 citations
• Detail preserved fusion of visible and infrared images using regional saliency extraction and multi-scale image decomposition (2015) — 561 citations