Jian Zhao

Computer Vision and Pattern Recognition · 1 papers · 2022

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 24 citations into it
• Optimization & Training — 9 citations into it
• Generative Models — 7 citations into it

Whom Jian Zhao trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton

Papers from Jian Zhao's perspective

Ordered by how strongly the researchers Jian Zhao 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. Microsoft COCO: Common Objects in Context
4. GENERATIVE ADVERSARIAL NETS
5. Gradient-based learning applied to document recognition
6. Et al
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Image Data Augmentation for Deep Learning: A Survey (2022) — 404 citations