Xueyang Fu
Computer Vision and Pattern Recognition · 2014–2022
A researcher in the Science corpus: 10 papers; trusts 708 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 229 citations into it; #3,990 of 21,575 by trust here, #3,323 by citations
- Media Technology — 82 citations into it; #1,398 of 3,621 by trust here, #398 by citations
- Artificial Intelligence — 44 citations into it
- Model Architectures — 27 citations into it
- Optimization & Training — 18 citations into it
- Computer Graphics and Computer-Aided Design — 16 citations into it; #858 of 1,584 by trust here, #592 by citations
- Atomic and Molecular Physics, and Optics — 10 citations into it; #1,088 of 7,135 by trust here, #2,263 by citations
- Evaluation & Benchmarks — 10 citations into it
Whom Xueyang Fu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Yoshua Bengio
- Karen Simonyan
- Ross B. Girshick
- Sergey Ioffe
Who trusts Xueyang Fu overall
- Wenhan Yang
- Jiaying Liu
- He Zhang
- Chongyi Li
- Ruoteng Li
- Chris H. Bahnsen
- Ozan Özdenizci
- Syed Waqas Zamir
- Xiaojie Guo
- Vishal M. Patel
Papers from Xueyang Fu's perspective
Ordered by how strongly the researchers Xueyang Fu 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation (2016) — 1,030 citations
- Removing Rain from Single Images via a Deep Detail Network (2017) — 1,228 citations
- Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal (2016) — 906 citations
- A fusion-based enhancing method for weakly illuminated images (2016) — 681 citations
- Lightweight Pyramid Networks for Image Deraining (2018) — 396 citations
- Image De-Raining Transformer (2022) — 372 citations
- Image De-raining via Continual Learning (2021) — 66 citations
- PanNet: A Deep Network Architecture for Pan-Sharpening (2017) — 758 citations
- A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation (2015) — 414 citations
- A retinex-based enhancing approach for single underwater image (2014) — 563 citations