3 citations · 4 across the 6 of their papers we have counts for
6 papers
Continuous Representation Methods, Theories, and Applications: An Overview and Perspectives
Yisi Luo, Xile Zhao, Deyu Meng
Recently, continuous representation methods emerge as novel paradigms that characterize the intrinsic structures of real-world data through function representations that map positi…
Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters
Chang Yu, Yisi Luo, Kai Ye +2
Implicit neural representation (INR) has emerged as a powerful paradigm for visual data representation. However, classical INR methods represent data in the original space mixed wi…
Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data
Jiayi Li, Xile Zhao, Jianli Wang +2
Recently, implicit neural representations (INRs) have attracted increasing attention for multi-dimensional data recovery. However, INRs simply map coordinates via a multi-layer per…
DTR: A Unified Deep Tensor Representation Framework for Multimedia Data Recovery
Ting-Wei Zhou, Xi-Le Zhao, Jian-Li Wang +4
Recently, the transform-based tensor representation has attracted increasing attention in multimedia data (e.g., images and videos) recovery problems, which consists of two indispe…
Revisiting Nonlocal Self-Similarity from Continuous Representation
Yisi Luo, Xile Zhao, Deyu Meng
Nonlocal self-similarity (NSS) is an important prior that has been successfully applied in multi-dimensional data processing tasks, e.g., image and video recovery. However, existin…
An inexact proximal majorization-minimization Algorithm for remote sensing image stripe noise removal
Chengjing Wang, Xile Zhao, Qingsong Wang +2
The stripe noise existing in remote sensing images badly degrades the visual quality and restricts the precision of data analysis. Therefore, many destriping models have been propo…