OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Equivariant Multi-Modality Image Fusion
Zixiang Zhao, Haowen Bai, Jiangshe Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. abs/2004.10934, pp. 25912-25921
Closed Access | Times Cited: 13
Zixiang Zhao, Haowen Bai, Jiangshe Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. abs/2004.10934, pp. 25912-25921
Closed Access | Times Cited: 13
Showing 13 citing articles:
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 8048-8059
Open Access | Times Cited: 100
Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 8048-8059
Open Access | Times Cited: 100
Fully-Connected Transformer for Multi-Source Image Fusion
Xiao Wu, Zihan Cao, Ting‐Zhu Huang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2025) Vol. 47, Iss. 3, pp. 2071-2088
Closed Access | Times Cited: 1
Xiao Wu, Zihan Cao, Ting‐Zhu Huang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2025) Vol. 47, Iss. 3, pp. 2071-2088
Closed Access | Times Cited: 1
MMIF-INet: Multimodal medical image fusion by invertible network
Dan He, Weisheng Li, Guofen Wang, et al.
Information Fusion (2024) Vol. 114, pp. 102666-102666
Closed Access | Times Cited: 6
Dan He, Weisheng Li, Guofen Wang, et al.
Information Fusion (2024) Vol. 114, pp. 102666-102666
Closed Access | Times Cited: 6
LEFuse: Joint low-light enhancement and image fusion for nighttime infrared and visible images
Ming–Ming Cheng, Haiyan Huang, Xiangyu Liu, et al.
Neurocomputing (2025), pp. 129592-129592
Closed Access
Ming–Ming Cheng, Haiyan Huang, Xiangyu Liu, et al.
Neurocomputing (2025), pp. 129592-129592
Closed Access
SSEFusion: Salient semantic enhancement for multimodal medical image fusion with Mamba and dynamic spiking neural networks
Shiqiang Liu, Weisheng Li, Dan He, et al.
Information Fusion (2025), pp. 103031-103031
Closed Access
Shiqiang Liu, Weisheng Li, Dan He, et al.
Information Fusion (2025), pp. 103031-103031
Closed Access
A stochastic structural similarity guided approach for multi-modal medical image fusion
Junhui Lv, Xiangzhi Zeng, Bo Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Junhui Lv, Xiangzhi Zeng, Bo Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multi-Text Guidance Is Important: Multi-Modality Image Fusion via Large Generative Vision-Language Model
Zeyu Wang, L. H. Zhao, Jizheng Zhang, et al.
International Journal of Computer Vision (2025)
Closed Access
Zeyu Wang, L. H. Zhao, Jizheng Zhang, et al.
International Journal of Computer Vision (2025)
Closed Access
Goal-guided multi-agent motion prediction with interactive state refinement
Yuzhen Wei, Ze Yu, Xiaofei Zhang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103242-103242
Closed Access
Yuzhen Wei, Ze Yu, Xiaofei Zhang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103242-103242
Closed Access
CPIFuse: Toward realistic color and enhanced textures in color polarization image fusion
Yidong Luo, Junchao Zhang, Chenglin Li
Information Fusion (2025), pp. 103111-103111
Closed Access
Yidong Luo, Junchao Zhang, Chenglin Li
Information Fusion (2025), pp. 103111-103111
Closed Access
SDATFuse:Sparse Dual Aggregation Transformer-based network for Infrared and Visible Image Fusion
Jinshi Guo, Yang Li, Yutong Chen, et al.
Digital Signal Processing (2025), pp. 105200-105200
Closed Access
Jinshi Guo, Yang Li, Yutong Chen, et al.
Digital Signal Processing (2025), pp. 105200-105200
Closed Access
A fusion network for multi-modality medical image registration with progressive feature alignment
Aimei Dong, Jingyuan Xu, Long Wang
Knowledge-Based Systems (2025), pp. 113427-113427
Closed Access
Aimei Dong, Jingyuan Xu, Long Wang
Knowledge-Based Systems (2025), pp. 113427-113427
Closed Access
FSGFuse: Feature synergy-guided multi-modality image fusion
Qiuhan Shao, Zheng Guan, Xue Wang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110691-110691
Closed Access
Qiuhan Shao, Zheng Guan, Xue Wang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110691-110691
Closed Access
CLIPFusion: Infrared and visible image fusion network based on image-text large model and adaptive learning
Chuanyun Wang, Chuanyun Wang, Tian Wang, et al.
Displays (2025), pp. 103042-103042
Closed Access
Chuanyun Wang, Chuanyun Wang, Tian Wang, et al.
Displays (2025), pp. 103042-103042
Closed Access
VDMUFusion: A Versatile Diffusion Model-Based Unsupervised Framework for Image Fusion
Yu Shi, Yü Liu, Juan Cheng, et al.
IEEE Transactions on Image Processing (2024) Vol. 34, pp. 441-454
Closed Access | Times Cited: 2
Yu Shi, Yü Liu, Juan Cheng, et al.
IEEE Transactions on Image Processing (2024) Vol. 34, pp. 441-454
Closed Access | Times Cited: 2
Multiple attention channels aggregated network for multimodal medical image fusion
Jingxue Huang, Tianshu Tan, Xiaosong Li, et al.
Medical Physics (2024)
Closed Access | Times Cited: 1
Jingxue Huang, Tianshu Tan, Xiaosong Li, et al.
Medical Physics (2024)
Closed Access | Times Cited: 1
Neural Boneprint: Person Identification from Bones Using Generative Contrastive Deep Learning
Chaoqun Niu, Dongdong Chen, Jizhe Zhou, et al.
(2024), pp. 7609-7618
Closed Access
Chaoqun Niu, Dongdong Chen, Jizhe Zhou, et al.
(2024), pp. 7609-7618
Closed Access
