Yi Chen

Computer Vision and Pattern Recognition · with Dong · 2021

A researcher in the Science corpus: 1 paper; trusts 243 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 17 citations into it
• Model Architectures — 5 citations into it

Whom Yi Chen trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Piotr Doll'ar
6. Alex Krizhevsky
7. Tsung-Yi Lin
8. Shaoqing Ren
9. Andrew Zisserman
10. Yoshua Bengio

Papers from Yi Chen's perspective

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

Their papers

• Improved YOLOv5 network for real-time multi-scale traffic sign detection (2021) — 327 citations