Yanrong Guo

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 389 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 181 citations into it; #13,560 of 21,575 by trust here, #11,950 by citations
• Artificial Intelligence — 69 citations into it
• Model Architectures — 17 citations into it
• Aerospace Engineering — 12 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Computational Mechanics — 9 citations into it

Whom Yanrong Guo trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. David G. Lowe
4. Kaiming He
5. Alex Krizhevsky
6. Pascal Vincent
7. Yann LeCun
8. Navneet Dalal
9. Diederik P. Kingma
10. Hugo Larochelle

Who trusts Yanrong Guo overall

1. Yu-An Chung
2. Dinggang Shen
3. Hyunseok Seo
4. Geert J. S. Litjens
5. Wei-Hung Weng
6. Arvid Lundervold
7. Guorong Wu
8. Charles Huang

Papers from Yanrong Guo's perspective

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

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

Their papers

• A Brief Survey on Semantic Segmentation with Deep Learning (2020) — 583 citations
• Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching (2015) — 238 citations
• Low-Light Image Enhancement With Semi-Decoupled Decomposition (2020) — 339 citations