Wei Li

Computer Vision and Pattern Recognition · with Chen · 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 Wei Li trusts overall

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

1. Alexia Jolicoeur-Martineau
2. Individualized Treat
3. Alec Radford
4. Elizaveta Levina
5. Shane T. Barratt
6. Martín Arjovsky
7. Geoffrey E. Hinton
8. Corentin Hardy
9. Takeru Miyato
10. L. Eon Bottou

Papers from Wei Li's perspective

Ordered by how strongly the researchers Wei Li 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. GENERATIVE ADVERSARIAL NETS
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Their papers

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