Zuoqiang Shi

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 176 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 48 citations into it
• Efficiency & Compression — 25 citations into it
• Model Architectures — 13 citations into it
• Signal Processing — 7 citations into it
• Optimization & Training — 6 citations into it
• Information Systems — 5 citations into it

Whom Zuoqiang Shi trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. George Karypis
6. Diederik P. Kingma
7. Ross B. Girshick
8. Yann LeCun
9. David G. Lowe
10. Ilya Sutskever

Papers from Zuoqiang Shi's perspective

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

Their papers

• A Harmonic Extension Approach for Collaborative Ranking (2016) — 6 citations
• Task-Oriented Feature Distillation (2020) — 73 citations