Ruizhi Shao

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Computer Graphics and Computer-Aided Design — 30 citations into it

Whom Ruizhi Shao trusts overall

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

1. Michael Oechsle
2. Vincent Sitzmann
3. Michael Niemeyer
4. Richard A. Newcombe
5. Lior Yariv
6. Chris Russell
7. T. Muller
8. Albert Pumarola
9. Diederik P. Kingma
10. Tinghui Zhou

Who trusts Ruizhi Shao overall

1. Ziyi Yang
2. Sara Fridovich-Keil

Papers from Ruizhi Shao's perspective

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

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

Their papers

• Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering (2022) — 300 citations