Yutong Lu

Computer Vision and Pattern Recognition · 1 papers · 2021

A researcher in the Science corpus: 1 paper; trusts 128 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Artificial Intelligence — 26 citations into it
• Multimodal Learning — 25 citations into it
• Generative Models — 16 citations into it
• Natural Language Processing — 11 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Yutong Lu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Kaiming He
5. Alex Krizhevsky
6. Ilya Sutskever
7. Yann LeCun
8. Jimmy Ba
9. Ross B. Girshick
10. Chin-Yew Lin

Papers from Yutong Lu's perspective

Ordered by how strongly the researchers Yutong Lu 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. GENERATIVE ADVERSARIAL NETS
10. Microsoft COCO: Common Objects in Context

Their papers

• Unifying Multimodal Transformer for Bi-directional Image and Text Generation (2021) — 67 citations