Yulan Guo

Computer Vision and Pattern Recognition · with Wang · 2021

A researcher in the Science corpus: 2 papers; trusts 120 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Media Technology — 28 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Aerospace Engineering — 13 citations into it

Whom Yulan Guo trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton

Papers from Yulan Guo's perspective

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

Their papers

• Unsupervised Degradation Representation Learning for Blind Super-Resolution (2021) — 403 citations
• Dense Nested Attention Network for Infrared Small Target Detection (2021) — 881 citations