Yuhong Guo

Computer Vision and Pattern Recognition · with Ye · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 860 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 329 citations into it
• Artificial Intelligence — 137 citations into it
• Media Technology — 37 citations into it
• Model Architectures — 26 citations into it
• Aerospace Engineering — 23 citations into it
• Evaluation & Benchmarks — 20 citations into it
• Automotive Engineering — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Yuhong Guo trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Karen Simonyan
7. Yoshua Bengio
8. Christian Szegedy
9. Andrew Zisserman
10. David G. Lowe

Papers from Yuhong Guo's perspective

Ordered by how strongly the researchers Yuhong Guo 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. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Object Detection in 20 Years: A Survey (2019) — 3,480 citations
• Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification (2020) — 38 citations