Qiang Xu

Computer Vision and Pattern Recognition · with Wang · 2021

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #20,066 of 21,575 by trust here, #18,782 by citations
• Generative Models — 30 citations into it
• Artificial Intelligence — 19 citations into it; #32,723 of 35,345 by trust here, #29,412 by citations
• Probabilistic & Bayesian Methods — 8 citations into it
• Signal Processing — 7 citations into it

Whom Qiang Xu trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Yang Song
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Yann LeCun
7. Kaiming He
8. Laurent Dinh
9. Max Welling
10. Radford M. Neal

Who trusts Qiang Xu overall

1. Stefano Peluchetti

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. Attention is All you Need (Neural Information Processing Systems)
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. GENERATIVE ADVERSARIAL NETS
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Generative Learning via Schrödinger Bridge (2021) — 148 citations