Lujia Bai

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Generative Models — 23 citations into it
• Artificial Intelligence — 12 citations into it
• Statistical and Nonlinear Physics — 12 citations into it

Whom Lujia Bai trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Prafulla Dhariwal
5. Alex Nichol
6. Jonathan Ho
7. Yoshua Bengio
8. Kaiming He
9. Jia Deng
10. Yann LeCun

Papers from Lujia Bai's perspective

Ordered by how strongly the researchers Lujia Bai 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. ImageNet: A large-scale hierarchical image database
4. Attention is All you Need (Neural Information Processing Systems)
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. GENERATIVE ADVERSARIAL NETS
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models (2023) — 482 citations