Ling Guan

Computer Vision and Pattern Recognition · 2006–2021

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

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it

Whom Ling Guan trusts

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

1. Lieven Vandenberghe (in Computational Theory and Mathematics)
2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
3. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Ling Guan's perspective

Ordered by how strongly the researchers Ling Guan 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Going deeper with convolutions
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Optimal Scheduling for Charging and Discharging of Electric Vehicles (2012) — 765 citations
• Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues (2021) — 493 citations
• 14 FROM LINEAR ADAPTIVE FILTERING TO NONLINEAR INFORMATION PROCESSING (2006) — 34 citations