Han Xu

Media Technology · Information Fusion · 2020–2023

A researcher in the Science corpus: 8 papers; trusts 196 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 154 citations into it; #289 of 3,621 by trust here, #373 by citations
• Computer Vision and Pattern Recognition — 142 citations into it; #4,698 of 21,575 by trust here, #6,426 by citations
• Aerospace Engineering — 27 citations into it
• Artificial Intelligence — 21 citations into it
• Biomedical Engineering — 18 citations into it; #3,460 of 10,734 by trust here, #6,028 by citations
• Generative Models — 10 citations into it
• Radiology, Nuclear Medicine and Imaging — 8 citations into it
• Model Architectures — 6 citations into it

Whom Han Xu trusts overall

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

1. Yu Liu
2. Jiayi Ma
3. Xun Chen
4. Gao Huang
5. Hui Li
6. Zhou Wang
7. B. K. Shreyamsha Kumar
8. Jianrui Cai
9. Alex Krizhevsky
10. Karen Simonyan

Who trusts Han Xu overall

1. Jiayi Ma
2. Xingchen Zhang
3. Linfeng Tang
4. Zixiang Zhao
5. Hui Li
6. Hao Zhang
7. Xue Wang
8. Wei Tang
9. Yiannis Demiris
10. Hao Bai

Papers from Han Xu's perspective

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

Their papers

• DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion (2020) — 1,204 citations
• FusionDN: A Unified Densely Connected Network for Image Fusion (2020) — 601 citations
• Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity (2020) — 610 citations
• Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and scene fidelity (2023) — 341 citations
• Image fusion meets deep learning: A survey and perspective (2021) — 753 citations
• MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion (2021) — 318 citations
• GANMcC: A Generative Adversarial Network With Multiclassification Constraints for Infrared and Visible Image Fusion (2021) — 673 citations
• U2Fusion: A Unified Unsupervised Image Fusion Network (2020) — 1,963 citations