Jian Zhao

Computer Vision and Pattern Recognition · with Ding · 2020

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 12 citations into it

Whom Jian Zhao trusts overall

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

1. Tsung-Yi Lin
2. Ross B. Girshick
3. Kaiming He

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. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Microsoft COCO: Common Objects in Context
4. Histograms of oriented gradients for human detection
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
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. Going deeper with convolutions

Their papers

• Effective Fusion Factor in FPN for Tiny Object Detection (2020) — 325 citations