Ke Yan

Computer Vision and Pattern Recognition · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2014–2022

A researcher in the Science corpus: 4 papers; trusts 397 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 150 citations into it
• Artificial Intelligence — 60 citations into it
• Model Architectures — 14 citations into it
• Aerospace Engineering — 13 citations into it
• Media Technology — 13 citations into it

Whom Ke Yan trusts overall

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

1. David G. Lowe
2. Ross B. Girshick
3. Kaiming He
4. Antonio Torralba
5. Aude Oliva
6. Alex Krizhevsky
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Yann LeCun
10. Piotr Doll'ar

Papers from Ke Yan's perspective

Ordered by how strongly the researchers Ke Yan 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• Towards Large-Scale Small Object Detection: Survey and Benchmarks (2022) — 694 citations
• A hybrid feature selection algorithm for gene expression data classification (2017) — 330 citations
• Feature selection and analysis on correlated gas sensor data with recursive feature elimination (2015) — 479 citations
• Image processing (2014) — 315 citations