Ying Cui

Computer Vision and Pattern Recognition · with Wang · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 198 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it
• Safety, Risk, Reliability and Quality — 17 citations into it
• Global and Planetary Change — 9 citations into it

Whom Ying Cui trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Shaoqing Ren
6. Christian Szegedy
7. Martin Danelljan
8. Tsung-Yi Lin
9. Yoshua Bengio
10. Diederik P. Kingma

Papers from Ying Cui's perspective

Ordered by how strongly the researchers Ying Cui 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. 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. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking (2019) — 759 citations
• Graph Attention Tracking (2020) — 401 citations