Lihua Guo

Computer Vision and Pattern Recognition · 2009–2019

A researcher in the Science corpus: 2 papers; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 19 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Lihua Guo trusts overall

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

1. Diederik P. Kingma
2. David G. Lowe
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Sergey Ioffe
6. Alex Krizhevsky
7. Kaiming He
8. Andrew Zisserman
9. Ross B. Girshick
10. Jonathan Baxter

Papers from Lihua Guo's perspective

Ordered by how strongly the researchers Lihua 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• PARN: Position-Aware Relation Networks for Few-Shot Learning (2019) — 97 citations
• A novel feature extraction method using Pyramid Histogram of Orientation Gradients for smile recognition (2009) — 163 citations