Yanan Li

Computer Vision and Pattern Recognition · with Wang · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 314 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 41 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Meta & Continual Learning — 11 citations into it
• Radiology, Nuclear Medicine and Imaging — 10 citations into it
• Model Architectures — 5 citations into it

Whom Yanan Li trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Alex Krizhevsky
5. Ilya Sutskever
6. Andrew Zisserman
7. Yoshua Bengio
8. Christian Szegedy
9. Ross B. Girshick
10. Diederik P. Kingma

Who trusts Yanan Li overall

1. Wenlin Wang
2. Yunchen Pu
3. Oscar Li

Papers from Yanan Li's perspective

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

Their papers

• Zero-Shot Learning with Generative Latent Prototype Model (2017) — 16 citations
• Class-Incremental Few-Shot Object Detection (2021) — 14 citations