Xiaoguang Mei
Computer Vision and Pattern Recognition · IEEE/CAA Journal of Automatica Sinica · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 95 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 87 citations into it; #16,066 of 21,575 by trust here, #11,498 by citations
- Media Technology — 79 citations into it; #1,125 of 3,621 by trust here, #1,002 by citations
- Artificial Intelligence — 17 citations into it
Whom Xiaoguang Mei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jiayi Ma
- Yu Liu
- Hui Li
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ian J. Goodfellow
- Zhou Wang
- Xiaojun Wu
- Kaiming He
- Ilya Sutskever
Who trusts Xiaoguang Mei overall
Papers from Xiaoguang Mei's perspective
Ordered by how strongly the researchers Xiaoguang Mei trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion (2020) — 1,204 citations
- SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer (2022) — 1,252 citations
- Infrared and visible image fusion based on target-enhanced multiscale transform decomposition (2020) — 389 citations