Qiangbo Liu

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it
• Artificial Intelligence — 54 citations into it

Whom Qiangbo Liu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ross B. Girshick

Papers from Qiangbo Liu's perspective

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

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

Their papers

• Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks (2023) — 533 citations