Xin Fan
Computer Vision and Pattern Recognition · 2019–2022
A researcher in the Science corpus: 6 papers; trusts 273 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 124 citations into it
- Media Technology — 63 citations into it; #1,516 of 3,621 by trust here, #1,079 by citations
- Artificial Intelligence — 15 citations into it
- Model Architectures — 7 citations into it
Whom Xin Fan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Jiayi Ma
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
- Andrew Zisserman
Who trusts Xin Fan overall
- Xingchen Zhang
- Jinyuan Liu
- Zixiang Zhao
- Yiannis Demiris
- Linfeng Tang
- M. Islam
- Chongyi Li
- Wei Tang
- Lintao Peng
- Hao Bai
Papers from Xin Fan's perspective
Ordered by how strongly the researchers Xin Fan 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement (2020) — 1,024 citations
- 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
- Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection (2022) — 1,145 citations
- Toward Fast, Flexible, and Robust Low-Light Image Enhancement (2022) — 313 citations
- Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light (2019) — 748 citations