Yuhui Quan

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 105 citations into it
• Media Technology — 33 citations into it
• Computational Mechanics — 8 citations into it

Whom Yuhui Quan trusts overall

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

1. Michael Elad
2. Kai Zhang
3. Geoffrey E. Hinton
4. Joshua D. Batson
5. Samuli Laine
6. Nitish Srivastava
7. Alex Krizhevsky
8. Dmitry Ulyanov
9. Jaakko Lehtinen
10. Alexander Krull

Papers from Yuhui Quan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study (2019) — 337 citations
• Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image (2020) — 456 citations