Shao-Ping Lu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 114 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it

Whom Shao-Ping Lu trusts overall

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

1. Kaiming He
2. Yuri Boykov

Papers from Shao-Ping Lu's perspective

Ordered by how strongly the researchers Shao-Ping Lu 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: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Microsoft COCO: Common Objects in Context
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Fully convolutional networks for semantic segmentation
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Interactive Image Segmentation With First Click Attention (2020) — 165 citations