Yu Zeng

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Generative Models — 13 citations into it

Whom Yu Zeng trusts overall

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

1. Diederik P. Kingma
2. Alexei A. Efros
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Jimmy Ba
8. Jiahui Yu
9. Ross B. Girshick
10. Yann LeCun

Who trusts Yu Zeng overall

1. Roman Suvorov

Papers from Yu Zeng's perspective

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

Their papers

• High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling (2020) — 187 citations