Ying Liu

Computer Vision and Pattern Recognition · with Cui · 2006–2019

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Ying Liu trusts overall

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

1. Joseph Redmon
2. David G. Lowe
3. Jifeng Dai

Papers from Ying Liu's perspective

Ordered by how strongly the researchers Ying Liu 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. YOLO9000: Better, Faster, Stronger
5. You Only Look Once: Unified, Real-Time Object Detection
6. Going deeper with convolutions
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. R-FCN: Object Detection via Region-based Fully Convolutional Networks

Their papers

• Deep Convolutional Neural Network Based Object Detector for X-Ray Baggage Security Imagery (2019) — 50 citations
• Behavioral responses of tilapia (Oreochromis niloticus) to acute fluctuations in dissolved oxygen levels as monitored by computer vision (2006) — 131 citations