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  1. No Access

    Chapter and Conference Paper

    M \(^2\) Sim: A Long-Term Interactive Driving Simulator

    Simulation now plays an important role in the development of autonomous driving algorithms as it can significantly reduce the economical cost and ethical risk of real-world testing. However, building a high-qu...

    Zhengxiao Han, Zhijie Yan, Yang Li, Pengfei Li, Yifeng Shi in Artificial Intelligence (2024)

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    Chapter and Conference Paper

    Text Extraction and Structuring of Standard Maintenance Documents for Metallurgical Continuous Casting Equipments

    The large need of standard maintenance documents (SMD) for metallurgical continuous casting equipments brings a lot of repetitive, time-consuming and laborious work. Therefore through artificial intelligence a...

    Fangcheng Shi, Jiayu Shi, Yue Zhao, Yu Zheng in Advances in Neural Networks – ISNN 2024 (2024)

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    Chapter and Conference Paper

    Long-Term Interactive Driving Simulation: MPC to the Rescue

    Simulation now plays an important role in the development of autonomous driving algorithms as it can significantly reduce the economical cost and ethical risk of real-world testing. However, building a high-qu...

    Zhengxiao Han, Zhijie Yan, Yang Li, Pengfei Li, Yifeng Shi in Artificial Intelligence (2024)

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    Chapter and Conference Paper

    MARS: An Instance-Aware, Modular and Realistic Simulator for Autonomous Driving

    Nowadays, autonomous cars can drive smoothly in ordinary cases, and it is widely recognized that realistic sensor simulation will play a critical role in solving remaining corner cases by simulating them. To t...

    Zirui Wu, Tianyu Liu, Liyi Luo, Zhide Zhong, Jianteng Chen in Artificial Intelligence (2024)

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    Chapter and Conference Paper

    To Distinguish Internal Infestation in Wheat Kernels Using Biophoton Technology and CS-BP Algorithm

    Stored grain insects detection is all along one of research focuses in grain storage industries. Based on biophoton analytical technology, the ultraweak photons emitted from the health and insects-contaminated...

    Weiya Shi in Advances in Neural Networks – ISNN 2024 (2024)

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    Chapter and Conference Paper

    Lithology Identification Method Based on CNN-LSTM-Attention: A Case Study of Huizhou Block in South China Sea

    Lithology identification of rock is one of the main bases for stratigraphic division in geology and plays a very important role in oil and gas exploration. In recent years, with the increasing amount of data o...

    Zhikun Liu, Xuedong Yan, Yanhong She, Fan Zhang, Chongdong Shi in Artificial Intelligence (2024)

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    Chapter and Conference Paper

    AIGCIQA2023: A Large-Scale Image Quality Assessment Database for AI Generated Images: From the Perspectives of Quality, Authenticity and Correspondence

    Recent years have witnessed a rapid growth of Artificial Intelligence Generated Content (AIGC), among which with the development of text-to-image techniques, AI-based image generation has been applied to vario...

    Jiarui Wang, Huiyu Duan, **g Liu, Shi Chen, **ongkuo Min in Artificial Intelligence (2024)

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    Chapter and Conference Paper

    GTLayout: Learning General Trees for Structured Grid Layout Generation

    Structured grid layouts are preferable in many scenarios of 2D visual content creation since their structures facilitate further layout editing. Multiple geometry-based methods can effectively create structure...

    Pengfei Xu, Weiran Shi, **n Hu, Hongbo Fu, Hui Huang in Computational Visual Media (2024)

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    Chapter and Conference Paper

    AST: An Attention-Guided Segment Transformer for Drone-Based Cross-View Geo-Localization

    To tackle the problem of drone-based cross-view geo-localization, we address how to match drone-view images and satellite-view images, which is extremely challenging due to the variability of view angles and v...

    Zichuan Zhao, Tianhang Tang, Jie Chen, Xuelei Shi in Computational Visual Media (2024)

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    Chapter and Conference Paper

    Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years

    The fields of biology, ecology, and fisheries management are witnessing a growing demand for distinguishing individual fish. In recent years, deep learning methods have emerged as a promising tool for image-ba...

    Weili Shi, Zhongliang Zhou in AI 2023: Advances in Artificial Intelligen… (2024)

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    Chapter and Conference Paper

    Denoised Dual-Level Contrastive Network for Weakly-Supervised Temporal Sentence Grounding

    The task of temporal sentence grounding aims to localize the target moment corresponding to a given natural language query. Due to the large burden of labeling the temporal boundaries, weakly-supervised method...

    Yaru Zhang, **ao-Yu Zhang, Haichao Shi in Computational Visual Media (2024)

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    Chapter and Conference Paper

    BK-Editer: Body-Kee** Text-Conditioned Real Image Editing

    With the firestorm of generative macromodelling, text-conditional image editing is a recently emerged and highly useful task with an unlimited future. Although a lot of research progress has been made, most of...

    Jiancheng Huang, Yifan Liu, Linxiao Shi, ** Qin in Computational Visual Media (2024)

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    Chapter and Conference Paper

    Metaballs-Based Real-Time Elastic Object Simulation via Projective Dynamics

    In this paper we present a novel approach for real-time elastic object simulation. In our framework, an elastic object is represented by a hybrid model that couples metaballs which are distributed adaptively a...

    Runze Yang, Shi Chen, Gang Xu, Shanshan Gao in Computer-Aided Design and Computer Graphics (2024)

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    Chapter and Conference Paper

    An Adaptive Brain Storm Optimization Based on Hierarchical Learning for Community Detection

    Community structure is an important feature of complex networks and it is essential for analyzing complex networks. In recent years, community detection based on heuristic algorithms has received much attentio...

    Wenya Shi, Yifei Sun, Shi Cheng, Jie Yang in International Conference on Neural Computi… (2023)

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    Chapter and Conference Paper

    Semantic and Gradient Guided Scene Text Image Super-Resolution

    Scene text image super-resolution (STISR) aims to improve image quality and enhance downstream recognition tasks. Although recent works has made significant progress, there are still challenges to overcome. Fi...

    Chengyue Shi, Wenbo Shi, **tong Hu, Wenming Yang in Image and Graphics (2023)

  16. No Access

    Chapter and Conference Paper

    Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN

    In the diagnosis of liver lesions, Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI) at the hepatobiliary phase (GED-HBP) is particularly valuable. However, the acquisition of GED-HBP is more costly than t...

    Jiyao Liu, Yuxin Li, Nannan Shi in Simulation and Synthesis in Medical Imaging (2023)

  17. No Access

    Chapter and Conference Paper

    Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-attention Mechanism

    As the problem of information overload becomes increasingly serious, traditional recommendation algorithms are difficult to efficiently provide assistance to users. In this context, more and more scholars have...

    Ao Zhang, Yifei Sun, Shi Cheng, Jie Yang in International Conference on Neural Computi… (2023)

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    Chapter and Conference Paper

    Optimization Design of Photovoltaic Power Generation System Under Complex Lighting Conditions

    Modeling and analyzing the electrical output characteristics of photovoltaic arrays under complex lighting conditions, and conducting research on the optimization design scheme of photovoltaic arrays and photo...

    Wenke Lu, Huibin Han, Sining Hu in International Conference on Neural Computi… (2023)

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    Chapter and Conference Paper

    A Fine-Grained Verification Method for Blockchain Data Based on Merkle Path Sharding

    Blockchain has been widely applied these years. As its volume of data is greatly increasing, it is necessary to shard the data to utilize hardward storage efficiently. After sharding, however, the validated da...

    Liang Wen, Zhiqiong Wang, Tingyu Cui, Caiyun Shi in Advanced Data Mining and Applications (2023)

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    Chapter and Conference Paper

    Research on Mixed Reality Visual Augmentation Method for Teleoperation Interactive System

    Highly intelligent teleoperated robots are playing an increasingly important role in high-risk tasks. This paper proposed a teleoperation vision enhancement method in mixed reality scenarios, aiming at the pro...

    Yueyang Shi, **aoLing Li, Long Wang, Zhangyi Cheng in Virtual, Augmented and Mixed Reality (2023)

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