Yanhui Guo

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Artificial Intelligence — 12 citations into it
• Media Technology — 9 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Yanhui Guo trusts overall

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

1. David L. Donoho
2. John Ashburner
3. Paul Bao
4. Robert Craig Holte
5. Jean-Luc Starck

Papers from Yanhui Guo's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Image quality assessment: from error visibility to structural similarity
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. De-noising by soft-thresholding
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. A versatile wavelet domain noise filtration technique for medical imaging (IEEE Transactions on Medical Imaging)
10. Snakes: Active contour models

Their papers

• Transfer learning based histopathologic image classification for breast cancer detection (2018) — 300 citations
• Automated breast cancer detection and classification using ultrasound images: A survey (2015) — 778 citations
• A survey on the magnetic resonance image denoising methods (2014) — 301 citations