Laiyun Qing

Computer Vision and Pattern Recognition · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 52 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #21,277 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 10 citations into it
• Biomedical Engineering — 6 citations into it

Whom Laiyun Qing trusts overall

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

1. Michael S. Ryoo
2. Olivier Chapelle
3. Saurabh Singh
4. Xiaodi Hou
5. Yu Kong
6. Thorsten Joachims
7. Ivan Laptev
8. Abhinav Kumar Gupta
9. Geoffrey E. Hinton
10. Kaiming He

Who trusts Laiyun Qing overall

1. Ming-Ming Cheng

Papers from Laiyun Qing's perspective

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

Their papers

• Visual saliency detection by spatially weighted dissimilarity (2011) — 303 citations
• Activity Auto-Completion: Predicting Human Activities from Partial Videos (2015) — 48 citations