Lei Wang

Computer Vision and Pattern Recognition · with Cheng · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it
• Artificial Intelligence — 37 citations into it
• Generative Models — 17 citations into it

Whom Lei Wang trusts overall

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

1. Geoffrey E. Hinton
2. Christian Szegedy
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yoshua Bengio
6. Kaiming He
7. Yann LeCun
8. Ilya Sutskever
9. Ross B. Girshick
10. Oriol Vinyals

Who trusts Lei Wang overall

1. Weihao Xia

Papers from Lei Wang's perspective

Ordered by how strongly the researchers Lei Wang 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. Attention is All you Need (Neural Information Processing Systems)
4. Going deeper with convolutions
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge (2020) — 124 citations
• Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning (2019) — 149 citations