Yang-Tian Sun

Computer Graphics and Computer-Aided Design · with Gao · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Graphics and Computer-Aided Design — 32 citations into it
• Computational Mechanics — 25 citations into it

Whom Yang-Tian Sun trusts overall

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

1. Olga Sorkine-Hornung
2. Michael S. Floater
3. Richard Zhang
4. Zhou Wang
5. Geoffrey E. Hinton
6. Johannes L. Schönberger
7. Diederik P. Kingma

Papers from Yang-Tian Sun's perspective

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

Their papers

• NeRF-Editing: Geometry Editing of Neural Radiance Fields (2022) — 299 citations