Yu Ding

Computer Vision and Pattern Recognition · with Li · 2021

A researcher in the Science corpus: 1 paper; trusts 145 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Signal Processing — 17 citations into it
• Generative Models — 7 citations into it

Whom Yu Ding trusts overall

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

1. Joon Son Chung
2. Andrew Zisserman
3. Rodrigo Malacarne
4. Ting-Chun Wang
5. Individualized Treat
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Aliaksandr Siarohin
9. Kaiming He
10. Diederik P. Kingma

Papers from Yu Ding's perspective

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

Their papers

• Flow-guided One-shot Talking Face Generation with a High-resolution Audio-visual Dataset (2021) — 590 citations