Lei Yu

Computer Vision and Pattern Recognition · with Wang · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 212 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it
• Artificial Intelligence — 39 citations into it

Whom Lei Yu trusts overall

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

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

Papers from Lei Yu's perspective

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

Their papers

• Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark (2022) — 369 citations
• A Normalized Gaussian Wasserstein Distance for Tiny Object Detection (2021) — 595 citations