Xiang Liu

Computer Vision and Pattern Recognition · with Zhang · 2021

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Biomedical Engineering — 13 citations into it

Whom Xiang Liu trusts overall

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

1. Kaiming He
2. Liang Zheng
3. Geoffrey E. Hinton
4. Shengcai Liao
5. Alex Krizhevsky
6. Sergey Ioffe
7. Jimmy Ba
8. Christian Szegedy
9. Ross B. Girshick
10. Yoshua Bengio

Papers from Xiang Liu's perspective

Ordered by how strongly the researchers Xiang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer (2021) — 401 citations