Huai Yu

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 2 papers; trusts 233 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 82 citations into it
• Media Technology — 32 citations into it
• Artificial Intelligence — 23 citations into it
• Ecology — 5 citations into it

Whom Huai Yu trusts overall

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

1. Yi Yang
2. Kaiming He
3. Cordelia Schmid
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. David G. Lowe
8. Svetlana Lazebnik
9. Andrew Zisserman
10. Tommi S. Jaakkola

Papers from Huai Yu's perspective

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

• Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark (2022) — 369 citations
• A Color-Texture-Structure Descriptor for High-Resolution Satellite Image Classification (2016) — 65 citations