Rui Xu

Computer Vision and Pattern Recognition · with Chen · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 469 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 113 citations into it; #21,185 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 64 citations into it
• Model Architectures — 28 citations into it
• Safety, Robustness & Interpretability — 25 citations into it
• Generative Models — 16 citations into it
• Optimization & Training — 10 citations into it
• Media Technology — 8 citations into it
• Efficiency & Compression — 6 citations into it

Whom Rui Xu trusts overall

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

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

Who trusts Rui Xu overall

1. Axel Sauer
2. Jianyi Wang
3. Tero Karras
4. Bo Zhang
5. Katja Schwarz
6. Kelvin C. K. Chan
7. Wenze Liu

Papers from Rui Xu's perspective

Ordered by how strongly the researchers Rui Xu 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. Gradient-based learning applied to document recognition
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

• Positional Encoding as Spatial Inductive Bias in GANs (2020) — 96 citations
• CARAFE: Content-Aware ReAssembly of FEatures (2019) — 918 citations
• When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks (2019) — 178 citations