140 citations · 374 across the 25 of their papers we have counts for
25 papers
Multiple Rotation Averaging with Constrained Reweighting Deep Matrix Factorization
Shiqi Li, Jihua Zhu, Yifan Xie +4
Multiple rotation averaging plays a crucial role in computer vision and robotics domains. The conventional optimization-based methods optimize a nonlinear cost function based on ce…
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models
Jinqian Chen, Jihua Zhu, Qinghai Zheng +2
Federated learning encounters substantial challenges with heterogeneous data, leading to performance degradation and convergence issues. While considerable progress has been achiev…
Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos
Yuchen Wang, Zhongyu Li, Xiangxiang Cui +4
Ultrasound examination is widely used in the clinical diagnosis of thyroid nodules (benign/malignant). However, the accuracy relies heavily on radiologist experience. Although deep…
Transition Information Enhanced Disentangled Graph Neural Networks for Session-based Recommendation
Ansong Li
Session-based recommendation is a practical recommendation task that predicts the next item based on an anonymous behavior sequence, and its performance relies heavily on the trans…
CRT-Net: A Generalized and Scalable Framework for the Computer-Aided Diagnosis of Electrocardiogram Signals
Jingyi Liu, Zhongyu Li, Xiayue Fan +5
Electrocardiogram (ECG) signals play critical roles in the clinical screening and diagnosis of many types of cardiovascular diseases. Despite deep neural networks that have been gr…
3DMNDT:3D multi-view registration method based on the normal distributions transform
Jihua Zhu, Di Wang, Jiaxi Mu +3
The normal distributions transform (NDT) is an effective paradigm for the point set registration. This method is originally designed for pair-wise registration and it will suffer f…
Effective multi-view registration of point sets based on student's t mixture model
Yanlin Ma, Jihua Zhu, Zhongyu Li +2
Recently, Expectation-maximization (EM) algorithm has been introduced as an effective means to solve multi-view registration problem. Most of the previous methods assume that each…
Multi-view Subspace Clustering Networks with Local and Global Graph Information
Qinghai Zheng, Jihua Zhu, Yuanyuan Ma +2
This study investigates the problem of multi-view subspace clustering, the goal of which is to explore the underlying grouping structure of data collected from different fields or…
Tensor-based Intrinsic Subspace Representation Learning for Multi-view Clustering
Qinghai Zheng, Yu Zhang, Jihua Zhu +3
As a hot research topic, many multi-view clustering approaches are proposed over the past few years. Nevertheless, most existing algorithms merely take the consensus information am…
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics
Dou Xu, Chang Cai, Chaowei Fang +3
Annotating histopathological images is a time-consuming andlabor-intensive process, which requires broad-certificated pathologistscarefully examining large-scale whole-slide images…
Bidirectional Loss Function for Label Enhancement and Distribution Learning
Xinyuan Liu, Jihua Zhu, Qinghai Zheng +3
Label distribution learning (LDL) is an interpretable and general learning paradigm that has been applied in many real-world applications. In contrast to the simple logical vector…
Robust Motion Averaging under Maximum Correntropy Criterion
Jihua Zhu, Jie Hu, Huimin Lu +2
Recently, the motion averaging method has been introduced as an effective means to solve the multi-view registration problem. This method aims to recover global motions from a set…
Consistent and Complementary Graph Regularized Multi-view Subspace Clustering
Qinghai Zheng, Jihua Zhu, Zhongyu Li +3
This study investigates the problem of multi-view clustering, where multiple views contain consistent information and each view also includes complementary information. Exploration…
Generalized Label Enhancement with Sample Correlations
Qinghai Zheng, Jihua Zhu, Haoyu Tang +3
Recently, label distribution learning (LDL) has drawn much attention in machine learning, where LDL model is learned from labelel instances. Different from single-label and multi-l…
Registration of multi-view point sets under the perspective of expectation-maximization
Jihua Zhu, Jing Zhang, Huimin Lu +1
Registration of multi-view point sets is a prerequisite for 3D model reconstruction. To solve this problem, most of previous approaches either partially explore available informati…
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation
Peng Liu, Bin Kong, Zhongyu Li +2
Recently, deep neural networks have demonstrated comparable and even better performance with board-certified ophthalmologists in well-annotated datasets. However, the diversity of…
Visual Space Optimization for Zero-shot Learning
Xinsheng Wang, Shanmin Pang, Jihua Zhu +3
Zero-shot learning, which aims to recognize new categories that are not included in the training set, has gained popularity owing to its potential ability in the real-word applicat…
Constrained Bilinear Factorization Multi-view Subspace Clustering
Qinghai Zheng, Jihua Zhu, Zhiqiang Tian +3
Multi-view clustering is an important and fundamental problem. Many multi-view subspace clustering methods have been proposed, and most of them assume that all views share a same c…
Feature Concatenation Multi-view Subspace Clustering
Qinghai Zheng, Jihua Zhu, Zhongyu Li +3
Multi-view clustering is a learning paradigm based on multi-view data. Since statistic properties of different views are diverse, even incompatible, few approaches implement multi-…
Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors
Jihua Zhu, Siyu Xu, Zutao Jiang +3
This paper proposes a global approach for the multi-view registration of unordered range scans. As the basis of multi-view registration, pair-wise registration is very pivotal. The…
Adaptive Co-weighting Deep Convolutional Features For Object Retrieval
Jiaxing Wang, Jihua Zhu, Shanmin Pang +3
Aggregating deep convolutional features into a global image vector has attracted sustained attention in image retrieval. In this paper, we propose an efficient unsupervised aggrega…
K-means clustering for efficient and robust registration of multi-view point sets
Zutao Jiang, Jihua Zhu, Georgios D. Evangelidis +3
Generally, there are three main factors that determine the practical usability of registration, i.e., accuracy, robustness, and efficiency. In real-time applications, efficiency an…
Simultaneous merging multiple grid maps using the robust motion averaging
Zutao Jiang, Jihua Zhu, Yaochen Li +2
Mapping in the GPS-denied environment is an important and challenging task in the field of robotics. In the large environment, mapping can be significantly accelerated by multiple…
An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments
Congcong Jin, Jihua Zhu, Yaochen Li +3
For the registration of partially overlapping point clouds, this paper proposes an effective approach based on both the hard and soft assignments. Given two initially posed clouds,…