Mengyi Shan

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Computer Graphics and Computer-Aided Design — 30 citations into it

Whom Mengyi Shan trusts overall

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

1. Michael Niemeyer
2. Diederik P. Kingma
3. Tero Karras
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Alex Krizhevsky
7. Kaiming He
8. Lars M. Mescheder

Papers from Mengyi Shan's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. GENERATIVE ADVERSARIAL NETS
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation (2021) — 400 citations