Chengyuan Li

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 114 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 10 citations into it
• Model Architectures — 8 citations into it

Whom Chengyuan Li trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Karen Simonyan
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Andrew Zisserman
8. Matthew D. Zeiler
9. X. Zhang
10. Shaoqing Ren

Papers from Chengyuan Li's perspective

Ordered by how strongly the researchers Chengyuan 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. ImageNet: A large-scale hierarchical image database
4. Going deeper with convolutions
5. Learning Multiple Layers of Features from Tiny Images
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Microsoft COCO: Common Objects in Context
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection (2018) — 441 citations