作者机构：
[Yuxing Lu] Peking University;[Weichen Zhao; Ge Jiao; Yuan Yang] Hengyang Normal University
会议名称：
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
会议时间：
14 April 2024
会议地点：
Seoul, Korea, Republic of
会议论文集名称：
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
关键词：
Multi-Modal Media Manipulation;DeepFake Detection;Mask Signal Modeling
摘要：
Detecting and Grounding Multi-Modal Media Manipulation (DGM
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) is an emerging task that aims to identify and locate manipulated elements in both textual and visual media. Given the complexity of this task, the model requires more sophisticated reasoning capabilities to align multi-modal features and capture forgery traces. To this end, we propose a Concentrated reasoning and Unified reconstruction framework (CrUr) for DGM
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. Instead of adhering to traditional hierarchical reasoning paradigms, we directly carry out all inference tasks using integrated multi-modal features. Specifically, we extract and align features at a finer granularity, capturing subtle differences that may indicate manipulation by leveraging advanced mask signal modeling. Moreover, to adapt to fine-grained reasoning tasks, we design a transformer-based Reconstruction Harmonizer to facilitate more complex interactions among the reconstructed features, ultimately obtaining integrated features. Experimental results on the DGM
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datasets show that our method achieves state-of-the-art performances.
摘要：
The system is based on the improvement and optimization of the existing workflow of the cinema, which has been found to have a large number of mechanical and time-consuming tasks. In line with the current trend of "electronic information", the system firstly introduces text recognition technology, which enables the rapid conversion of paper and electronic information. Secondly, the data visualization technology helps the cinema to have a better understanding of the recent sales situation. Compared to the previous system, this system avoids the boring and tedious mechanical manual entry work and is more in line with modern information management, which can effectively increase the efficiency and promote the long-term development of the cinema.
摘要：
This paper proposes an A* artificial intelligence pathfinding algorithm based on the hexagonal grid map of Unreal Engine 5. This algorithm utilizes the rich tools and resources provided by Unreal Engine 5 to evaluate each node through a heuristic function, thus finding the shortest path. Test results show that this algorithm not only can quickly find the shortest path, but also can effectively avoid obstacle grids, with advantages such as high efficiency, flexibility, and scalability. This research result has high practical value for solving pathfinding problems on hexagonal grid maps and can provide strong support for game development and other fields of artificial intelligence applications.
作者机构：
[Chen, Jianzhen; Wang, Chenglong; Ma, WenBin; Qiu, Junjie; Wang, CL] Hengyang Normal Univ, Hengyang 541004, Hunan, Peoples R China.
会议名称：
13th International Conference on Computer Engineering and Networks (CENet)
会议时间：
NOV 03-05, 2023
会议地点：
Wuxi, PEOPLES R CHINA
会议主办单位：
[Wang, Chenglong;Chen, Jianzhen;Qiu, Junjie;Ma, WenBin] Hengyang Normal Univ, Hengyang 541004, Hunan, Peoples R China.
会议论文集名称：
Lecture Notes in Electrical Engineering
关键词：
Quadcopter;Backstepping sliding mode control algorithm;Disturbance rejection control;Hovering flight
摘要：
To address the issues of poor control performance and lack of robustness during hovering flight of a quadcopter, a backstepping sliding mode control algorithm was designed. The nonlinear model the of quadcopter was established based on the Newton-Euler equations. The inner loop was designed for attitude control, while the outer loop was designed for position control. The backstepping sliding mode algorithm controlwas implemented in MATLAB, and simulation and experimentation demonstrated that the designed algorithm exhibits good response speed and robustness. It effectively controls the quadcopter to reach the target position and maintain a hovering flight state, achieving dual-loop disturbance rejection control for the quadcopter system.
作者机构：
[Yuxing Lu] Peking University;[Weichen Zhao; Ge Jiao; Yuan Yang] Hengyang Normal University
会议名称：
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
会议时间：
14 April 2024
会议地点：
Seoul, Korea, Republic of
会议论文集名称：
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
关键词：
Person search;Text-based person re-identification;Color reasoning
摘要：
Text-based Person Search (TBPS) aims to retrieve the person images based on the given text descriptions. Due to the heterogeneity between modalities and the fine granularity of the person, it is challenging to address the task. Existing methods often overlook granularity consistency across different color channels, which means there’s much potential to enhance retrieval performance. In this paper, we propose a Dual-Color Granularity Alignment (DCGA) method for Text-Based Person Search. DCGA harnesses both color and grayscale information to address issues of color reliance and granularity consistency. Moreover, by employing an improved CR Loss with grayscale information used as an additional weak supervision, DCGA addresses intra-class variance and dataset scarcity. Extensive experiments have demonstrated that our proposed DCGA method achieves state-of-the-art results on all three public datasets.
作者机构：
[Yaxin Zhao; Yuebing Xu; Xiaowu Zhang; Jiadong Ye] College of Physics and Electronic Engineering, Hengyang Normal University, Hengyang, China
会议名称：
2023 9th International Conference on Computer and Communications (ICCC)
会议时间：
08 December 2023
会议地点：
Chengdu, China
会议论文集名称：
2023 9th International Conference on Computer and Communications (ICCC)
关键词：
urban water supply network leakage forecasting;long short-term memory network;attention mechanism;LSTM-AM model
摘要：
The effective forecasting of urban water supply network leakage is the premise and basis for network leakage control. In response to the problem that Long Short-Term Memory (LSTM) network tends to ignore the importance of data information, an urban water supply network leakage forecasting model is proposed based on the combination of LSTM and Attention Mechanism (AM). In this paper, the original leakage data of the District Metering Area in Zhuzhou City are used as the research object and pre-processed by Savitzky-Golay filter smoothing. Then, the LSTM network is used to extract the trajectory features of the leakage data. Finally, the AM network is introduced to extract the key feature information and automatically fit the weights to strengthen the ability of the model to obtain the key feature information of the leakage data. The experimental results show that the proposed LSTM-AM model could better capture correlations and has higher accuracy in pipe network leakage forecasting than the typical LSTM model and CNN-LSTM model.
作者机构：
College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China;Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China;[Tian X.; Zhao H.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China, Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China
会议名称：
The 10th International Conference on Computer Engineering and Networks（CENet2020）
会议时间：
2020-10-16
会议地点：
中国陕西西安
会议论文集名称：
Proceedings of the 10th International Conference on Computer Engineering and Networks(CENet2020)
关键词：
Constant-weight group coded bloom filter;Data center;Multiple-set membership query
作者机构：
[Li K.; Li Q.; Zhang J.; Zhao J.] Hengyang Normal University, Hengyang, 421002, China;Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China;[Li L.] Hengyang Normal University, Hengyang, 421002, China, Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China
会议名称：
9th International Conference on Computer Engineering and Networks, CENet2019
作者机构：
[Jiao G.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China;Human Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China;[Zou Y.; Zhao H.-H.; Li L.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China, Human Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China
会议名称：
10th International Conference on Computer Engineering and Networks, CENet 2020
会议时间：
16 October 2020 through 18 October 2020
关键词：
Differential power analysis;LED;Lightweight block cipher
作者机构：
[Liu Q.] School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China;[Liu X.] School of Computing, Edinburgh Napier University, Edinburgh, United Kingdom;[Li L.; Zhao H.-H.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, Hunan, China;[Zhou H.] Department of Informatics, University of Leicester, Leicester, United Kingdom
会议名称：
9th International Conference on Computer Engineering and Networks, CENet2019
作者机构：
[Chen Z.] Changsha University, Changsha, China;[Xuan Z.; Chen J.] Xiangtan University, Xiangtan, China;[Zhu X.] Hengyang Normal University, Hengyang, China;Chongqing College of Electronic and Engineering, Chongqing, China;[Zou S.] Hengyang Normal University, Hengyang, China, Chongqing College of Electronic and Engineering, Chongqing, China
会议名称：
The 9th International Conference on Computer Engineering and Networks（CENet2019）
会议时间：
2019-10-18
会议地点：
中国湖南长沙
会议论文集名称：
Proceedings of the 9th International Conference on Computer Engineering and Networks(CENet2019)
作者：
Chenglong Wang;Tangle Peng;Longzhi Hu;Guanjun Liu
期刊：
Advances in Intelligent Systems and Computing,2021年 1274: 158-167 ISSN：2194-5357
通讯作者：
Wang, C.
作者机构：
[Peng T.; Liu G.; Wang C.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China;[Hu L.] Zhongxing Telecommunication Equipment Corporation, Shenzhen, 518000, China
通讯机构：
[Wang, C.] C;College of Computer Science and Technology, China
会议名称：
10th International Conference on Computer Engineering and Networks, CENet 2020
会议时间：
16 October 2020 through 18 October 2020
会议论文集名称：
The 10th International Conference on Computer Engineering and Networks
关键词：
CenSurE features;FREAK descriptor;Unmanned aerial vehicle scene matching algorithm
期刊：
ACM International Conference Proceeding Series,2021年:291–296
作者机构：
[Jiao, Ge; Li, Lang; Deng, Hongwei; Zheng, Guangyong; Zou, Yi; Zhao, Junxia] College of Computer Science and Technology, Hengyang Normal University, China
会议名称：
13th International Conference on Education Technology and Computers, ICETC 2021
会议时间：
October 22, 2021 - October 25, 2021
会议地点：
Virtual, Online, China
会议论文集名称：
ICETC '21: Proceedings of the 13th International Conference on Education Technology and Computers
关键词：
big data;computer professional;practical teaching;talent cultivation
