140 citations · 374 across the 25 of their papers we have counts for
13 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
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,…
Weighted Motion Averaging for the Registration of Multi-View Range Scans
Rui Guo, Jihua Zhu, Yaochen Li +3
Multi-view registration is a fundamental but challenging problem in 3D reconstruction and robot vision. Although the original motion averaging algorithm has been introduced as an e…