Ruobei Wang

Computer Vision and Pattern Recognition · 2021

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

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Generative Models — 19 citations into it

Whom Ruobei Wang trusts

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

1. Alexia Jolicoeur-Martineau (in Computer Vision and Pattern Recognition)

Papers from Ruobei Wang's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
3. Going deeper with convolutions
4. Improved Training of Wasserstein GANs
5. Wasserstein GAN
6. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
7. ImageNet classification with deep convolutional neural networks
8. Gradient-based learning applied to document recognition
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric (2021) — 34 citations