Xiangyu Zhu

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 9 papers; trusts 1,046 researchers and is trusted by 291 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 298 citations into it; #2,289 of 21,575 by trust here, #2,435 by citations
• Signal Processing — 68 citations into it; #5,715 of 7,572 by trust here, #2,400 by citations
• Artificial Intelligence — 60 citations into it
• Biomedical Engineering — 23 citations into it
• Representation & Self-Supervised Learning — 23 citations into it
• Model Architectures — 14 citations into it
• Computational Mechanics — 12 citations into it
• Aerospace Engineering — 10 citations into it

Whom Xiangyu Zhu trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Ross B. Girshick
5. Karen Simonyan
6. Yoshua Bengio
7. Yann LeCun
8. David G. Lowe
9. Shaoqing Ren
10. Diederik P. Kingma

Who trusts Xiangyu Zhu overall

1. Liang Zheng
2. Xi Yin
3. Xiaoming Liu
4. Xiang Wang
5. Yujun Shen
6. Elad Richardson
7. Chi Su
8. Mang Ye
9. Zhun Zhong
10. Yao Feng

Papers from Xiangyu Zhu's perspective

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

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

Their papers

• Person re-identification by Local Maximal Occurrence representation and metric learning (2014) — 2,139 citations
• High-fidelity Pose and Expression Normalization for face recognition in the wild (2015) — 582 citations
• Face Alignment in Full Pose Range: A 3D Total Solution (2015) — 785 citations
• Object detection by labeling superpixels (2015) — 109 citations
• S^3FD: Single Shot Scale-Invariant Face Detector (2017) — 685 citations
• Embedding Deep Metric for Person Re-identification: A Study Against Large Variations (2016) — 313 citations
• Towards Fast, Accurate and Stable 3D Dense Face Alignment (2020) — 500 citations
• Learning Meta Face Recognition in Unseen Domains (2020) — 160 citations
• Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing (2020) — 215 citations