Jinyuan Liu
Computer Vision and Pattern Recognition · 2021–2023
A researcher in the Science corpus: 4 papers; trusts 67 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 63 citations into it
- Media Technology — 42 citations into it; #2,025 of 3,621 by trust here, #1,598 by citations
Whom Jinyuan Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hui Li
- Jiayi Ma
- Han Xu
- Xiaojun Wu
- Zhou Wang
- Zixiang Zhao
- Kaiming He
- Geoffrey E. Hinton
- Karen Simonyan
- Alex Krizhevsky
Who trusts Jinyuan Liu overall
- Xingchen Zhang
- Zixiang Zhao
- Yiannis Demiris
- Linfeng Tang
- Wei Tang
- Hao Bai
- Di Wang
- Xue Wang
- Xin Fan
- Yuxin Deng
Papers from Jinyuan Liu's perspective
Ordered by how strongly the researchers Jinyuan Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- GENERATIVE ADVERSARIAL NETS
Their papers
- Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion (2021) — 404 citations
- Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration (2022) — 323 citations
- Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation (2023) — 337 citations
- Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection (2022) — 1,145 citations