Yahui Liu

Computer Vision and Pattern Recognition · with Collier · 2022

A researcher in the Science corpus: 1 paper; trusts 93 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Artificial Intelligence — 46 citations into it
• Multimodal Learning — 32 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Yahui Liu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Kaiming He
6. Ilya Sutskever
7. Yann LeCun
8. Jimmy Ba
9. Nitish Srivastava
10. Oriol Vinyals

Papers from Yahui Liu's perspective

Ordered by how strongly the researchers Yahui Liu 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Language Models Can See: Plugging Visual Controls in Text Generation (2022) — 120 citations