Multi-view co-occurrence and dual-modality framework for breast cancer classification by Chong Su, Zhenghua Gong, Jie Cao

“…To address these limitations, this paper proposes a dual-modality and multi-view learning framework for breast cancer detection. …”
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Structure-guided decoupled contrastive framework for partial multi-view incomplete multi-label classification by Linqian Yang, Tao Zhuang, Xing Jin, Tianyang Cao, Xiyin Wu

“…Although existing methods have attempted to address this issue, they struggle to fully exploit the consistency and complementarity of multi-view multi-label data simultaneously. To overcome this limitation, we propose a novel structure-guided decoupled contrastive framework (SGDC). …”
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CR-CLCD: A cross-regional cropland change detection framework with multi-view domain adaptation for high-resolution satellite imagery by Zhendong Sun, Xinyu Wang, Yanfei Zhong

“…To address these issues, a Cross-Region Cropland Change Detection (CR-CLCD) framework with Multi-View Domain Adaptation (MVDA) is proposed. …”
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LiDGS: An efficient 3D reconstruction framework integrating lidar point clouds and multi-view images for enhanced geometric fidelity by Li Yan, Jiang Song, Hong Xie, Pengcheng Wei, Gang Li, Longze Zhu, Zhongli Fan, Shucheng Gong

“…To address this challenge, we propose a novel 3D reconstruction approach within the 3DGS framework, integrating lidar point clouds and multi-view images, named LiDGS, which achieves high-fidelity 3D scene reconstruction by introducing high-precision geometric a priori information and multiple geometric constraints from lidar point clouds, while guaranteeing efficient and accurate scene rendering. …”
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Leveraging unified multi-view hypergraph learning for neurodevelopmental disorders diagnosis by Xiangmin Han, Junchang Li

“…This work aims to model the subtle, disease-specific high-order relationships among brain regions that have been overlooked in existing works.MethodThis paper proposes a Unified Multi-View Hypergraph Learning framework that combines knowledge-driven and data-driven strategies for a more precise and comprehensive representation of the adolescent brain network. …”
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View-label driven cross-space structure alignment for incomplete multi-view partial multi-label classification by Shenrun Ding, Jiarui Chen, Tongwei Gao, Yinghao Ye, Xiaohuan Lu

“…Abstract Despite significant advancements in multi-view multi-label learning driven by its broad applicability, real-world scenarios frequently suffer from dual incompleteness in both view and label spaces due to data acquisition uncertainties. …”
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Multi-view contrastive learning and symptom extraction insights for medical report generation by Qi Bai, Xiaodi Zou, Ahmad Alhaskawi, Yanzhao Dong, Haiying Zhou, Sohaib Hasan Abdullah Ezzi, Vishnu Goutham Kota, Mohamed Hasan Hasan AbdullaAbdulla, Sahar Ahmed Abdalbary, Xianliang Hu, Hui Lu

“…We introduce an advanced MVCL framework that maximizes the potential of multi-view MRI data to enhance visual feature extraction. …”
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Multi-view kernel subspace clustering with adaptive information completion and fusion for unsupervised systems by Li Guo, Zhigui Liu, Jiao Bao, Qian Wang

“…In this research, we propose a multi-kernel RPCA with graph regulation to prevent irrelevant information from being introduced into the clustering process of target objects. We also design a multi-view data completion framework with enhanced low-rank constraint to improve the quality of incomplete data in each view. …”
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Soft label collaborative view consistency enhancement with application to incomplete multi-view clustering. by Jie Zhang, Jiali Tang

“…Incomplete multi-view clustering (IMVC) is an unsupervised technique for clustering multi-view data when some view information is absent. …”
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Multi-view affinity-based projection alignment for unsupervised domain adaptation via locality preserving optimization by Weibin Luo, Mingye Chen, Jian Gao, Yanping Zhu, Fang Wang, Chenyang Zhu

“…However, it remains difficult due to noisy pseudo-labels in the target domain, inadequate modeling of local geometric structure, and reliance on a single input view that limits representational diversity in challenging tasks. We propose a framework named Multi-view Affinity-based Projection Alignment (MAPA) that uses a teacher–student network and multi-view augmentation to stabilize pseudo-labels and enhance feature diversity. …”
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Semantic consistency enhancement and contribution-driven network for partial multi-view incomplete multi-label classification by Yishan Jiang, Lian Zhao, Zhixian Jiang, Yinghao Ye, Xiaohuan Lu

“…Currently, some frameworks have been introduced to address the complex issue of partial multi-view incomplete multi-label classification, but they frequently overlook the impact of view quality on the learning of semantic information. …”
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A Heuristic Approach to Competitive Facility Location via Multi-View K-Means Clustering with Co-Regularization and Customer Behavior by Thanathorn Phoka, Praeploy Poonprapan, Pornpimon Boriwan

“…This study presents a novel heuristic framework that integrates multi-view K-means clustering with customer behavior modeling reinforced by a co-regularization mechanism to align clustering results across heterogeneous data views. …”
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LST-BEV: Generating a Long-Term Spatial–Temporal Bird’s-Eye-View Feature for Multi-View 3D Object Detection by Qijun Feng, Chunyang Zhao, Pengfei Liu, Zhichao Zhang, Yue Jin, Wanglin Tian

“…This paper presents a novel multi-view 3D object detection framework, Long-Term Spatial–Temporal Bird’s-Eye View (LST-BEV), designed to improve performance in autonomous driving. …”
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3D reconstruction from 2D multi-view dental 2D images based on EfficientNetB0 model by Waleed Mohamed, Nermeen Nader, Yasmin M. Alsakar, Naira Elazab, Mohamed Ezzat, Mohammed Elmogy

“…Therefore, this research paper proposes a new 3D reconstruction model from 2D multi-view dental images. The proposed framework consists of three stages. …”
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Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS) by Ray L. Khuboni, Hongjun Xu

“…To address these challenges, we propose octagram propagation matching for multi-scale view stereopsis (OPM-MVS), a novel framework for efficient and accurate depth map estimation. …”
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A novel Swin transformer based framework for speech recognition for dysarthria by Rabbia Mahum, Ismaila Ganiyu, Lotfi Hidri, Ahmed M. El-Sherbeeny, Haseeb Hassan

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FoT: an efficient transformer framework for real-time small object detection in football videos by Wentao Zhang, Yaocong Yang

“…Traditional object detection methods, relying on region proposals and anchor generation, struggle to balance real-time performance and accuracy in complex scenarios such as multi-view, motion blur, and small object recognition. …”
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Accurate prediction of synergistic drug combination using a multi-source information fusion framework by Shuting Jin, Huaze Long, Anqi Huang, Jianming Wang, Xuan Yu, Zhiwei Xu, Junlin Xu

“…To enhance the capture of molecular structural information, we introduce a heterogeneous graph transformer to learn multi-view representations of heterogeneous molecular graphs. …”
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A Novel Multistep Wavelet Convolutional Transfer Diagnostic Framework for Cross-Machine Bearing Fault Diagnosis by Lujia Zhao, Yuling He, Hai Zheng, Derui Dai

“…Therefore, a multistep wavelet convolutional transfer diagnostic framework (MSWCTD) is proposed to realize cross-machine bearing fault diagnosis. …”
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BETAV: A Unified BEV-Transformer and Bézier Optimization Framework for Jointly Optimized End-to-End Autonomous Driving by Rui Zhao, Ziguo Chen, Yuze Fan, Fei Gao, Yuzhuo Men

“…This paper proposes BETAV, a novel framework that addresses the persistent challenges of low 3D perception accuracy and suboptimal trajectory smoothness in autonomous driving systems through unified BEV-Transformer encoding and Bézier-optimized planning. …”
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