Nan Li

Computer Vision and Pattern Recognition · with Li · 2019

A researcher in the Science corpus: 1 paper; trusts 117 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 13 citations into it

Whom Nan Li trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Shaoqing Ren
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Pedro F. Felzenszwalb
7. Andrew Zisserman
8. X. Zhang
9. Yann LeCun
10. Piotr Doll'ar

Papers from Nan Li's perspective

Ordered by how strongly the researchers Nan 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. Gradient-based learning applied to document recognition
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning to Rank Proposals for Object Detection (2019) — 53 citations