Shuang Xu
Computer Vision and Pattern Recognition · 2020–2023
A researcher in the Science corpus: 3 papers; trusts 69 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 87 citations into it; #18,002 of 21,575 by trust here, #15,529 by citations
- Media Technology — 58 citations into it; #2,890 of 3,621 by trust here, #2,178 by citations
- Generative Models — 20 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Shuang Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jiayi Ma
- Hui Li
- Xiaojun Wu
- Diederik P. Kingma
- Han Xu
- Geoffrey E. Hinton
- Linfeng Tang
- Alex Krizhevsky
- Mehdi Mirza
- Yoshua Bengio
Who trusts Shuang Xu overall
Papers from Shuang Xu's perspective
Ordered by how strongly the researchers Shuang Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
Their papers
- CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion (2022) — 844 citations
- DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion (2023) — 404 citations
- DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion (2020) — 395 citations