Luhuan Wu

Computer Vision and Pattern Recognition · 2023

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 — 14 citations into it
• Generative Models — 10 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Luhuan Wu trusts overall

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

1. Jonathan Ho
2. Pascal Vincent
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Alex Krizhevsky
7. Tim Salimans
8. Bahjat Kawar
9. Aditya Ramesh
10. Prafulla Dhariwal

Papers from Luhuan Wu's perspective

Ordered by how strongly the researchers Luhuan 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Practical and Asymptotically Exact Conditional Sampling in Diffusion Models (2023) — 230 citations