Tianhe Wu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Media Technology — 27 citations into it

Whom Tianhe Wu trusts overall

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

1. A. Bovik
2. Hamid R. Sheikh
3. Zhou Wang
4. Individualized Treat
5. Kede Ma
6. Eric C. Larson
7. Deepti Ghadiyaram
8. Hossein Talebi
9. Yochai Blau
10. Geoffrey E. Hinton

Papers from Tianhe Wu's perspective

Ordered by how strongly the researchers Tianhe Wu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet Large Scale Visual Recognition Challenge
9. Gradient-based learning applied to document recognition
10. Going deeper with convolutions

Their papers

• MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment (2022) — 759 citations