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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
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Blog Post number 4
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Blog Post number 1
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portfolio
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publications
CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation
Published in Pattern Recognition and Computer Vision, PRCV, 2024
Recommended citation: Shiting He, Yuzhu Ji, Yiqun Zhang, An Zeng, Dan Pan, Jing Lin, Xiaobo Zhang: CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation. PRCV (5) 2023: 431-442.
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QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering
Published in ACM Conference on Knowledge Discovery and Data Mining, ACM KDD, 2024
Recommended citation: Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang, Yiu-ming Cheung. QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering. KDD 2024: 297-306
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CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-organ Segmentation
Published in European Conference on Artificial Intelligence (ECAI), 2024
Recommended citation: Yuzhu Ji, Mingshan Sun, Yiqun Zhang, Haijun Zhang. CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-Organ Segmentation. ECAI 2024: 153-160.
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One-shot Human Motion Transfer via Occlusion-Robust Flow Prediction and Neural Texturing
Published in IEEE Transactions on Multimedia, 2024
Recommended citation: Ji, Yuzhu, Chuanxia Zheng, and Tat-Jen Cham. "One-shot Human Motion Transfer via Occlusion-Robust Flow Prediction and Neural Texturing." arXiv preprint arXiv:2412.06174 (2024).
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talks
Human Motion Transfer: Techniques, Models and Applications
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This tutorial mainly introduces the theory, methods and algorithms of human motion transfer with different task settings, and their applications in virtual reality, teleconferencing and digital human. It includes the introduction of one-shot, few-shot, and video-specific motion transfer tasks. The method level mainly includes feature warping, appearance style injection using generative adversarial models and stable diffusion models, person-specific models using neural scene representation and neural radiance field and Gaussian splatting. Finally, a brief introduction is made to the current research topics and some achievements of the research group.
teaching
Principles and Application of AI Chip
Undergraduate course, School of Computer Science and Technology, Guangdong University of Technology, 2024
This course takes several typical applications in the field of AI computing, and focus on the basic principles and system optimization methods involved in instruction set, compiler and software stack from software algorithm to computer architecture. To understand the design process of AI computing from the perspective of system. The purpose of this course is to develop students’ basic skills in designing and using relevant compilers and software stacks and system optimization methods based on an AI computing architecture.
Computer Vision
Undergraduate course, School of Computer Science and Technology, Guangdong University of Technology, 2024
Computer vision is a core area of artificial intelligence, enabling machines to analyze and interpret visual data from the world, driving advancements in autonomous vehicles, augmented reality, medical diagnostics, and robotics. This course introduces core concepts such as image acquisition, processing, feature extraction, segmentation, and 3D reconstruction, with practical applications in depth estimation and panoramic stitching.
Machine Learning and Data Mining
Undergraduate course, School of Computer Science and Technology, Guangdong University of Technology, 2024
Since the dawn of the 21st century, informatization and digitization have transformed the world, with information technology permeating every facet of human society. The rapid development and widespread adoption of technologies such as the Internet, the Internet of Things (IoT), cloud computing, and mobile internet have led to an explosion of data. As the country with the largest number of internet and mobile internet users, China stands at the forefront of this revolution, boasting abundant data resources and a thriving application market, giving it unique advantages in big data development.