Chang Li
Computer Vision and Pattern Recognition · Information Fusion · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 92 citations into it; #4,840 of 21,575 by trust here, #6,542 by citations
- Media Technology — 78 citations into it; #291 of 3,621 by trust here, #385 by citations
Whom Chang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Chang Li overall
- Jiayi Ma
- Hui Li
- Han Xu
- Xiaojun Wu
- Linfeng Tang
- Zixiang Zhao
- Wei Tang
- Jing Li
- Xingchen Zhang
- Hao Zhang
Papers from Chang Li's perspective
Ordered by how strongly the researchers Chang Li trusts endorse each paper. Same corpus, a different order for every researcher.
- GENERATIVE ADVERSARIAL NETS
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- A universal image quality index (IEEE Signal Processing Letters)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Infrared and visible image fusion via gradient transfer and total variation minimization (2016) — 999 citations
- FusionGAN: A generative adversarial network for infrared and visible image fusion (2019) — 2,045 citations
- Infrared and visible image fusion methods and applications: A survey (2018) — 1,572 citations