Sirui Xie

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 289 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 78 citations into it; #4,967 of 21,575 by trust here, #4,245 by citations
• Artificial Intelligence — 70 citations into it; #6,497 of 35,345 by trust here, #5,749 by citations
• Model Architectures — 24 citations into it
• Neural Architecture Search & AutoML — 22 citations into it; #48 of 283 by trust here, #35 by citations
• Optimization & Training — 11 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Reinforcement Learning — 8 citations into it

Whom Sirui Xie trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Barret Zoph
4. Ronald J. Williams
5. Karen Simonyan
6. Diederik P. Kingma
7. Yoshua Bengio
8. Kaiming He
9. Quoc V. Le
10. Yann LeCun

Who trusts Sirui Xie overall

1. Xuanyi Dong
2. Quanming Yao
3. Hang Xu
4. Arber Zela
5. Jianlong Chang
6. Miao Zhang
7. Yao Shu
8. Shaofeng Cai
9. Shen Yan
10. Xinbang Zhang

Papers from Sirui Xie's perspective

Ordered by how strongly the researchers Sirui Xie 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• SNAS: Stochastic Neural Architecture Search (2018) — 1,014 citations
• DSNAS: Direct Neural Architecture Search Without Parameter Retraining (2020) — 146 citations
• Graph-Guided Architecture Search for Real-Time Semantic Segmentation (2019) — 108 citations