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检索条件"机构=Jiangsu Key Lab of Computer Information Processing Technology"
1056 条 记 录,以下是181-190 订阅
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RoKEPG: RoBERTa and Knowledge Enhancement for Prescription Generation of Traditional Chinese Medicine
arXiv
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arXiv 2023年
作者: Pu, Hua Mi, Jiacong Lu, Shan He, Jieyue School of Computer Science and Engineering Key Lab of Computer Network and Information Integration MOE Southeast University Jiangsu Nanjing210018 China Nanjing Fenghuo Tiandi Communication Technology Co. Ltd Jiangsu Nanjing211161 China
Traditional Chinese medicine (TCM) prescription is the most critical form of TCM treatment, and uncovering the complex nonlinear relationship between symptoms and TCM is of great significance for clinical practice and... 详细信息
来源: 评论
A Policy-Controlled Signature Scheme for end-to-end Secure Communication
A Policy-Controlled Signature Scheme for end-to-end Secure C...
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International Conference on Advanced Cloud and Big Data (CBD)
作者: Feng Yu Linghui Meng Jing Xi Xianxian Li Qianhui Lu Weidong Zhu Key Lab of Education Blockchain and Intelligent Technology Guangxi Normal University GuiLin China Jiangsu Provincial Key Laboratory of Netwrok and Information Security University of SouthEast Nanjing China Guangxi Key Lab of Multi-Source Information Mining and Security Guangxi Normal University GuiLin China Guangxi Collaborative Innovation Center of Multi-source Information Integration and Intelligent Processing Guangxi Normal University GuiLin China
In the digitalized society, end-to-end security communication is receiving increasing attention. Issues such as ma-licious sender impersonation and over-privilege communication continue to prevail in end-to-end commun... 详细信息
来源: 评论
Semi-Supervised Image Captioning Considering Wasserstein Graph Matching
arXiv
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arXiv 2024年
作者: Yang, Yang The Nanjing University of Science and Technology Nanjing210094 China PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology China Ministry of Education State Key Lab. for Novel Software Technology Nanjing University China
Image captioning can automatically generate captions for the given images, and the key challenge is to learn a mapping function from visual features to natural language features. Existing approaches are mostly supervi... 详细信息
来源: 评论
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification
SSRN
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SSRN 2023年
作者: Wang, Jiabao Li, Yang Wei, Xiu-Shen Li, Hang Miao, Zhuang Zhang, Rui Army Engineering University of PLA Jiangsu Nanjing210007 China PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology Jiangsu Nanjing210094 China State Key Lab. for Novel Software Technology Nanjing University Jiangsu Nanjing210023 China
Unsupervised learning technology has caught up with or even surpassed supervised learning technology in general object classification (GOC) and person re-identification (re-ID). However, it is found that the unsupervi... 详细信息
来源: 评论
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm
From Node Interaction to Hop Interaction: New Effective and ...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Jie Chen Zilong Li Yin Zhu Junping Zhang Jian Pu Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University Shanghai China Institute of Science and Technology for Brain-Inspired Intelligence Fudan University Shanghai China
Existing Graph Neural Networks (GNNs) follow the message-passing mechanism that conducts information interaction among nodes iteratively. While considerable progress has been made, such node interaction paradigms stil...
来源: 评论
Background Semantics Matter: Cross-Task Feature Exchange Network for Clustered Infrared Small Target Detection With Sky-Annotated Dataset
arXiv
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arXiv 2024年
作者: Xiao, Mengxuan Dai, Qun Zhu, Yiming Guo, Kehua Wang, Huan Shu, Xiangbo Yang, Jian Dai, Yimian School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China PCALab Key Lab of Intelligent Perception and Systems for High-Dimensional Information Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security China School of Computer Science and Engineering Central South University China
Infrared small target detection poses unique challenges due to the scarcity of intrinsic target features and the abundance of similar background distractors. We argue that background semantics play a pivotal role in d... 详细信息
来源: 评论
Graph Matching Optimization Network for Point Cloud Registration
arXiv
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arXiv 2023年
作者: Wu, Qianliang Shen, Yaqi Jiang, Haobo Mei, Guofeng Ding, Yaqing Luo, Lei Xie, Jin Yang, Jian PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology China The Faculty of Engineering and Information Technology University of Technology Sydney SydneyNSW2007 Australia
Point Cloud Registration is a fundamental and challenging problem in 3D computer vision. Recent works often utilize the geometric structure information in point feature embedding or outlier rejection for registration ... 详细信息
来源: 评论
Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration
arXiv
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arXiv 2023年
作者: Wu, Qianliang Jiang, Haobo Ding, Yaqing Luo, Lei Xie, Jin Yang, Jian PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology China
Efficiently finding optimal correspondences between point clouds is crucial for solving both rigid and nonrigid point cloud registration problems. Existing methods often rely on geometric or semantic feature embedding... 详细信息
来源: 评论
STGE-Former: Spatial-Temporal Graph-Enhanced Transformer for EEG-Based Major Depressive Disorder Detection
STGE-Former: Spatial-Temporal Graph-Enhanced Transformer for...
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International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Yu Chen Chunfeng Yang School of Computer Science and Engineering Southeast University Nanjing China Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications Southeast University Ministry of Education China Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing Southeast University
Applying deep learning techniques to Electroencephalogram (EEG) data has shown great potential in the field of depression detection. However, existing EEG-based depression detection models face challenges: they strugg... 详细信息
来源: 评论
LVOS: A Benchmark for Large-scale Long-term Video Object Segmentation
arXiv
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arXiv 2024年
作者: Hong, Lingyi Liu, Zhongying Chen, Wenchao Tan, Chenzhi Feng, Yuang Zhou, Xinyu Guo, Pinxue Li, Jinglun Chen, Zhaoyu Gao, Shuyong Zhang, Wei Zhang, Wenqiang Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai200433 China The Shanghai Engineering Research Center of AI&Robotics Academy for Engineering&Technology Fudan University Shanghai China Engineering Research Center of AI&Robotics Ministry of Education Academy for Engineering&Technology Fudan University Shanghai China The Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University Shanghai China
Video object segmentation (VOS) aims to distinguish and track target objects in a video. Despite the excellent performance achieved by off-the-shell VOS models, existing VOS benchmarks mainly focus on short-term video... 详细信息
来源: 评论