Le Yu

Computer Vision and Pattern Recognition · Science Bulletin · 2012–2019

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 8 citations into it; #24,939 of 35,345 by trust here, #28,481 by citations
• Ecology — 8 citations into it; #8,401 of 10,717 by trust here, #6,392 by citations
• Environmental Engineering — 8 citations into it; #4,713 of 5,479 by trust here, #2,998 by citations

Whom Le Yu trusts overall

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

1. Alex Krizhevsky
2. Yinghai Ke

Who trusts Le Yu overall

1. Urska Kanjir
2. Harm Greidanus
3. Abdulhakim M. Abdi
4. Kristof Ostir

Papers from Le Yu's perspective

Ordered by how strongly the researchers Le Yu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Multi-column deep neural networks for image classification
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Joint Deep Learning for Pedestrian Detection
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Managing nitrogen to restore water quality in China (2019) — 966 citations
• Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017. (2019) — 1,096 citations
• A multiple crop model ensemble for improving broad-scale yield prediction using Bayesian model averaging (2017) — 54 citations
• Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images (2016) — 399 citations
• Mapping global land cover in 2001 and 2010 with spatial-temporal consistency at 250 m resolution (2015) — 131 citations
• Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives (2012) — 369 citations