3 citations · 3 across the 5 of their papers we have counts for
7 papers
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…
Contrastive Label Enhancement
Yifei Wang, Yiyang Zhou, Jihua Zhu +3
Label distribution learning (LDL) is a new machine learning paradigm for solving label ambiguity. Since it is difficult to directly obtain label distributions, many studies are foc…
HD2Reg: Hierarchical Descriptors and Detectors for Point Cloud Registration
Canhui Tang, Yiheng Li, Shaoyi Du +2
Feature Descriptors and Detectors are two main components of feature-based point cloud registration. However, little attention has been drawn to the explicit representation of loca…
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…