Dayan Guan

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 312 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 78 citations into it
• Artificial Intelligence — 46 citations into it
• Representation & Self-Supervised Learning — 21 citations into it
• Model Architectures — 7 citations into it
• Media Technology — 6 citations into it

Whom Dayan Guan trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Karen Simonyan
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Andrew Zisserman
8. Piotr Doll'ar
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Dayan Guan overall

1. Jinyuan Liu
2. Jindong Wang

Papers from Dayan Guan's perspective

Ordered by how strongly the researchers Dayan Guan 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. 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. 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

• FSDR: Frequency Space Domain Randomization for Domain Generalization (2021) — 308 citations
• Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection (2018) — 319 citations