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检索条件"机构=Key Lab of Intelligent Computing and Signal Processing"
2003 条 记 录,以下是31-40 订阅
排序:
Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation
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ACM Transactions on Multimedia computing, Communications and Applications 2025年 第4期21卷
作者: Wang, Jiahui Xu, Qin Jiang, Bo Luo, Bin The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China The Information Materials and Intelligent Sensing Laboratory of Anhui Province School of Computer Science and Technology Anhui University The Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China
The transductive Few-shot Learning (FSL) mostly employs either prototype learning or label propagation methods to generalize to new classes by using the information of all query samples. However, existing methods have... 详细信息
来源: 评论
Enhancing bone-conducted speech with spectrum similarity metric in adversarial learning
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Speech Communication 2025年 170卷
作者: Pan, Yan Zhou, Jian Wang, Huabin Zheng, Wenming Tao, Liang Kwan, Hon Keung Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei230601 China Key Laboratory of Child Development and Learning Science Ministry of Education and School of Biological Science and Medical Engineering Southeast University Nanjing210096 China Department of Electrical and Computer Engineering University of Windsor Windsor Canada
Although bone-conducted (BC) speech offers the advantage of being insusceptible to background noise, its transmission path through bone tissue entails not only serious attenuation of high-frequency components but also... 详细信息
来源: 评论
Improving Event-Level Financial Sentiment Analysis with Retrieval-Augmented Multipath Chain-of-Thought Prompting  12th
Improving Event-Level Financial Sentiment Analysis with Ret...
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12th CCF Conference on BigData, BigData 2024
作者: Zhang, Yiming Ao, Xiang Yu, Guoxin He, Qing Henan Institute of Advanced Technology Zhengzhou University Zhengzhou450002 China Beijing100190 China Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing100190 China
Event-level Financial Sentiment Analysis (EFSA) aims to extract all the quintuples containing five sentiment elements from a given financial news text, which has gained prominence as an emerging domain recently. ... 详细信息
来源: 评论
EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation
arXiv
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arXiv 2025年
作者: Zhang, Zihao Chen, Haoran Zhao, Haoyu Lu, Guansong Fu, Yanwei Xu, Hang Wu, Zuxuan Shanghai Key Lab of Intell. Info. Processing School of CS Fudan University China Shanghai Collaborative Innovation Center of Intelligent Visual Computing China Noah’s Ark Lab Huawei Canada
Handling complex or nonlinear motion patterns has long posed challenges for video frame interpolation. Although recent advances in diffusion-based methods offer improvements over traditional optical flow-based approac... 详细信息
来源: 评论
Blockchain-Assisted Revocable Cross-Domain Authentication for Vehicular Ad-Hoc Networks
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IEEE Transactions on Dependable and Secure computing 2025年
作者: Li, Ru Cui, Jie Zhang, Jing Wei, Lu Zhong, Hong He, Debiao Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Hefei230039 China Anhui University Anhui Engineering Laboratory of IoT Security Technologies Hefei230039 China Wuhan University School of Cyber Science and Engineering 430072 China
With the rapid development of vehicular ad-hoc networks (VANETs) and the increasing diversification of user demands, interactions between different management domains have become more frequent. Identity authentication... 详细信息
来源: 评论
High-order diversity feature learning for pedestrian attribute recognition
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Neural Networks 2025年 188卷 107463页
作者: Wu, Junyi Huang, Yan Gao, Min Niu, Yuzhen Chen, Yuzhong Wu, Qiang Key Laboratory of Network Computing and Intelligent Information Processing College of Computer and Data Science Fuzhou University Fujian Fuzhou China Australian Artificial Intelligence Institute University of Technology Sydney NSW Australia Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information College of Physics and Information Engineering Fuzhou University Fujian Fuzhou China School of Electrical and Data Engineering University of Technology Sydney NSW Australia
Pedestrian attribute recognition (PAR) involves accurately identifying multiple attributes present in pedestrian images. There are two main approaches for PAR: part-based method and attention-based method. The former ... 详细信息
来源: 评论
NetPrompt: Neural Network Prompting Enhances Event Extraction in Large Language Models
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IEEE Transactions on Big Data 2025年
作者: Mu, Lin Cheng, Yide Shen, Jun Zhang, Yiwen Zhong, Hong School of Computer Science and Technology Anhui University Anhui Hefei230601 China The Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education the Anhui Engineering Laboratory of IoT Security Technologies the School of Computer Science and Technology the Institute of Physical Science and Information Technology Anhui University Hefei230039 China
Event Extraction involves extracting event-related information such as event types and event arguments from context, which has long been tackled through well-designed neural networks or fine-tuned pre-trained language... 详细信息
来源: 评论
Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning
arXiv
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arXiv 2025年
作者: You, Zuyao Wang, Junke Kong, Lingyu He, Bo Wu, Zuxuan Shanghai Key Lab of Intell. Info. Processing School of CS Fudan University China Shanghai Collaborative Innovation Center of Intelligent Visual Computing China University of Maryland College Park United States
(Image Present) We present Pix2Cap-COCO, the first panoptic pixel-level caption dataset designed to advance fine-grained visual understanding. To achieve this, we carefully design an automated annotation pipeline that... 详细信息
来源: 评论
Autonomous Path Planning via Sand Cat Swarm Optimization With Multi-Strategy Mechanism for Unmanned Aerial Vehicles in Dynamic Environment
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IEEE Internet of Things Journal 2025年
作者: Deng, Wu Feng, Jiayi Zhao, Huimin Civil Aviation University of China College of Electronic Information and Automation Tianjin300300 China Civil Aviation University of China Tianjin Key Lab Intelligent Signal and Image Processing Tianjin300300 China State Key Laboratory of Rail Transit Vehicle System of Southwest Jiaotong University Chengdu610031 China
Unmanned Aerial Vehicles (UAVs) face critical challenges in path planning in dynamic environment. Sand Cat Swarm Optimization (SCSO) algorithm has demonstrated promise in addressing complex optimization challenges. Ho... 详细信息
来源: 评论
Hierarchical Covering Algorithm
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Tsinghua Science and Technology 2014年 第1期19卷 76-81页
作者: Jie Chen Shu Zhao Yanping Zhang Department of Computer Science and Technology and Key Lab of Intelligent Computing and Signal Processing Anhui University
The concept of deep learning has been applied to many domains, but the definition of a suitable problem depth has not been sufficiently explored. In this study, we propose a new Hierarchical Covering Algorithm (HCA)... 详细信息
来源: 评论