309 citations · 1.6k across the 77 of their papers we have counts for
13 papers · 1 filter
TERM Model: Tensor Ring Mixture Model for Density Estimation
Ruituo Wu, Jiani Liu, Ce Zhu +3
Efficient probability density estimation is a core challenge in statistical machine learning. Tensor-based probabilistic graph methods address interpretability and stability concer…
Phase Guided Light Field for Spatial-Depth High Resolution 3D Imaging
Geyou Zhang, Ce Zhu, Kai Liu +1
On 3D imaging, light field cameras typically are of single shot, and however, they heavily suffer from low spatial resolution and depth accuracy. In this paper, by employing an opt…
Federated Deep Multi-View Clustering with Global Self-Supervision
Xinyue Chen, Jie Xu, Yazhou Ren +5
Federated multi-view clustering has the potential to learn a global clustering model from data distributed across multiple devices. In this setting, label information is unknown an…
Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs
Jiani Liu, Qinghua Tao, Ce Zhu +3
Multitask learning (MTL) leverages task-relatedness to enhance performance. With the emergence of multimodal data, tasks can now be referenced by multiple indices. In this paper, w…
Tensor Regression
Jiani Liu, Ce Zhu, Zhen Long +1
Regression analysis is a key area of interest in the field of data analysis and machine learning which is devoted to exploring the dependencies between variables, often using vecto…
Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution
Ao Li, Le Zhang, Yun Liu +1
Transformer-based methods have exhibited remarkable potential in single image super-resolution (SISR) by effectively extracting long-range dependencies. However, most of the curren…
Multi-view MERA Subspace Clustering
Zhen Long, Ce Zhu, Jie Chen +3
Tensor-based multi-view subspace clustering (MSC) can capture high-order correlation in the self-representation tensor. Current tensor decompositions for MSC suffer from highly unb…
Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch Invariance
Xinyu Lin, Yingjie Zhou, Xun Zhang +2
Binary feature descriptors have been widely used in various visual measurement tasks, particularly those with limited computing resources and storage capacities. Existing binary de…
Level-line Guided Edge Drawing for Robust Line Segment Detection
Xinyu Lin, Yingjie Zhou, Yipeng Liu +1
Line segment detection plays a cornerstone role in computer vision tasks. Among numerous detection methods that have been recently proposed, the ones based on edge drawing attract…
Adaptively Topological Tensor Network for Multi-view Subspace Clustering
Yipeng Liu, Yingcong Lu, Weiting Ou +2
Multi-view subspace clustering methods have employed learned self-representation tensors from different tensor decompositions to exploit low rank information. However, the data str…
A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges
Xinyu Lin, Yingjie Zhou, Yipeng Liu +1
An image line segment is a fundamental low-level visual feature that delineates straight, slender, and uninterrupted portions of objects and scenarios within images. Detection and…
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training
Xinwei Ou, Zhangxin Chen, Ce Zhu +1
Deep neural networks have achieved great success in many data processing applications. However, the high computational complexity and storage cost makes deep learning hard to be us…
Tensorized LSSVMs for Multitask Regression
Jiani Liu, Qinghua Tao, Ce Zhu +2
Multitask learning (MTL) can utilize the relatedness between multiple tasks for performance improvement. The advent of multimodal data allows tasks to be referenced by multiple ind…