Qiang Xu

Computer Vision and Pattern Recognition · with Ji · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 105 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 16 citations into it
• Model Architectures — 14 citations into it

Whom Qiang Xu trusts overall

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

1. Ross B. Girshick
2. Rohan Shah
3. Kaiming He
4. Alex Krizhevsky
5. Christian Szegedy
6. Karen Simonyan
7. Vladimir Naumovich Vapnik
8. Geoffrey E. Hinton
9. Sergey Ioffe
10. Shaoqing Ren

Papers from Qiang Xu's perspective

Ordered by how strongly the researchers Qiang Xu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks (2020) — 380 citations
• Comparison of two optimized machine learning models for predicting displacement of rainfall-induced landslide: A case study in Sichuan Province, China (2017) — 86 citations