18 citations · 42 across the 10 of their papers we have counts for
10 papers
Learning Subspace-Preserving Sparse Attention Graphs from Heterogeneous Multiview Data
Jie Chen, Yuanbiao Gou, Chuanbin Liu +2
The high-dimensional features extracted from large-scale unlabeled data via various pretrained models with diverse architectures are referred to as heterogeneous multiview data. Mo…
LaverNet: Lightweight All-in-one Video Restoration via Selective Propagation
Haiyu Zhao, Yiwen Shan, Yuanbiao Gou +1
Recent studies have explored all-in-one video restoration, which handles multiple degradations with a unified model. However, these approaches still face two challenges when dealin…
Next-Scale Prediction: A Self-Supervised Approach for Real-World Image Denoising
Yiwen Shan, Haiyu Zhao, Peng Hu +2
Self-supervised real-world image denoising remains a fundamental challenge, arising from the antagonistic trade-off between decorrelating spatially structured noise and preserving…
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
Boyun Li, Haiyu Zhao, Wenxin Wang +3
Recent advancements in Mamba have shown promising results in image restoration. These methods typically flatten 2D images into multiple distinct 1D sequences along rows and columns…
Conditional Distribution Learning for Graph Classification
Jie Chen, Hua Mao, Chuanbin Liu +2
Leveraging the diversity and quantity of data provided by various graph-structured data augmentations while preserving intrinsic semantic information is challenging. Additionally,…
Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams
Jie Chen, Hua Mao, Yuanbiao Gou +1
Data stream clustering reveals patterns within continuously arriving, potentially unbounded data sequences. Numerous data stream algorithms have been proposed to cluster data strea…
Test-Time Degradation Adaptation for Open-Set Image Restoration
Yuanbiao Gou, Haiyu Zhao, Boyun Li +2
In contrast to close-set scenarios that restore images from a predefined set of degradations, open-set image restoration aims to handle the unknown degradations that were unforesee…
Relationship Quantification of Image Degradations
Wenxin Wang, Boyun Li, Yuanbiao Gou +3
In this paper, we study two challenging but less-touched problems in image restoration, namely, i) how to quantify the relationship between image degradations and ii) how to improv…
Multi-Scale Adaptive Network for Single Image Denoising
Yuanbiao Gou, Peng Hu, Jiancheng Lv +2
Multi-scale architectures have shown effectiveness in a variety of tasks thanks to appealing cross-scale complementarity. However, existing architectures treat different scale feat…
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network
Boyun Li, Yuanbiao Gou, Shuhang Gu +3
In this paper, we study two challenging and less-touched problems in single image dehazing, namely, how to make deep learning achieve image dehazing without training on the ground-…