2025 5th International Conference on Computer Vision and Pattern Analysis (ICCPA 2025)
ICCPA 2025
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ICCPA 2025

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The 5th International Conference on Computer Vision and Pattern Analysis (ICCPA 2025) had been successfully held in Anshan, China from May 16-18, 2025. ICCPA 2025 gathered scholars, researchers, engineers, and entrepreneurs in the realm of computer vision and pattern analysis from all corners of the globe, with the aim of establishing a pivotal platform to facilitate academic exchange and the sharing of research outcomes. The conference jointly deliberated on the most recent research findings and developmental trends within the discipline.


Participants drew inspiration and were motivated by the experiences shared by fellow researchers, thereby contributing to the advancement of technology in these sectors and enhancing the depth of academic inquiry.


Group Photo

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Welcome Address

The conference commenced with an opening remark from Zhang Wenyu, Vice President of University of Science and Technology Liaoning, China.

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Keynote speeches

Then the conference entered the keynote speech session, where five professors from both domestic and international institutions were invited to give the keynote speech. 

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Prof. Xiangjian He, University of Nottingham Ningbo

The speech title: Unleashing the Potential of Promotable Foundation Model for Generalizable Nuclei Segmentation


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Prof. Xiangtao LiJilin University

The speech title: 面向单细胞染色质可及性数据解析的新方法 scAGDE


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Prof. Xiulong Liu, Tianjin University

The speech title: Towards Efficient Edge Intelligence for Multi-Source Sensing


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Prof. Zhongbao Zhang, Beijing University of Posts and Telecommunications

The speech title: Abnormal Detection Based on Multiple Social Networks Fusion


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Prof. Qiang He, Northeastern University

The speech title: Knowledge-Defined Edge Computing Networks Assisted Long-Term Optimization of Computation Offloading and Resource Allocation Strategy


The afternoon session was inspired by the invited speeches 


Invited speeches 

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Prof. Maoxiang Chu, University of Science and Technology Liaoning

Speech Title: TSAFM-Net: template-based spatial deformation perception alignment and feature vector matching network for PCB component detection

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Prof. Qi Zhao, University of Science and Technology Liaoning

Speech Title:基于深度学习和特征融合的化合物分子性质预测研究


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Assoc. Prof. Ye Tao, University of Science and Technology Liaoning

Speech Title:基于混沌的图像加密算法研究

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Assoc. Prof. Honghan Li, University of Science and Technology Liaoning

Speech Title:Biomechanical Measurement Methods Based on Computer Vision




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