Xiaoyan Lu

Computer Vision and Pattern Recognition · with Ma · 2021

A researcher in the Science corpus: 1 paper; trusts 86 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 17 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Xiaoyan Lu trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Liang-Chieh Chen
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Evan Shelhamer
7. Yann LeCun

Papers from Xiaoyan Lu's perspective

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

Their papers

• LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation (2021) — 670 citations