Lei Zhang

Computer Vision and Pattern Recognition · with Ding · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Lei Zhang trusts overall

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

1. Alex Krizhevsky

Papers from Lei Zhang's perspective

Ordered by how strongly the researchers Lei Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet: A large-scale hierarchical image database
4. GENERATIVE ADVERSARIAL NETS
5. Wide Residual Networks
6. MuJoCo: A physics engine for model-based control
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. mixup: Beyond Empirical Risk Minimization
9. Best practices for convolutional neural networks applied to visual document analysis
10. Exploring the Limits of Weakly Supervised Pretraining

Their papers

• Learning data augmentation policies using augmented random search (2018) — 10 citations