Weijia Mao

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Generative Models — 19 citations into it

Whom Weijia Mao trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Jonathan Ho
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Alec Radford
8. Ilya Sutskever
9. Yann LeCun
10. Oriol Vinyals

Papers from Weijia Mao's perspective

Ordered by how strongly the researchers Weijia Mao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. GENERATIVE ADVERSARIAL NETS
9. ImageNet Large Scale Visual Recognition Challenge
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Show-o: One Single Transformer to Unify Multimodal Understanding and Generation (2024) — 730 citations