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检索条件"机构=School of Data and Computer Science and Guangdong Key Lab. of Information Security and Technology"
248 条 记 录,以下是151-160 订阅
排序:
Semantics-Guided Contrastive Network for Zero-Shot Object Detection
arXiv
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arXiv 2021年
作者: Yan, Caixia Chang, Xiaojun Luo, Minnan Liu, Huan Zhang, Xiaoqin Zheng, Qinghua The Ministry of Education Key Lab of Intelligent Networks and Network Security National Engineering Lab for Big Data Analytics School of Electronic and Information Engineering Xi'an Jiaotong University Shaanxi710049 China The ReLER Lab AAAI Faculty of Engineering and Information Technology University of Technology Sydney Australia The College of Computer Science and Artificial Intelligence Wenzhou University China
Zero-shot object detection (ZSD), the task that extends conventional detection models to detecting objects from unseen categories, has emerged as a new challenge in computer vision. Most existing approaches tackle the... 详细信息
来源: 评论
Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?
arXiv
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arXiv 2024年
作者: Zhang, Hongyuan Wang, Ching-Wei Muzakky, Hikam Dai, Juan Li, Xuguang Ma, Chenglong Wu, Qian Cui, Xianan Xu, Kunlun He, Pengfei Guo, Dongqian Wang, Xianlong Lee, Hyunseok Zhong, Zhangnan Zhu, Zhu Huang, Bingsheng Medical AI Lab School of Biomedical Engineering Shenzhen University Medical School Shenzhen University Shenzhen518060 China Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging School of Biomedical Engineering Shenzhen University Medical School Shenzhen University Shenzhen518060 China Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taiwan Department of Stomatology Shenzhen University General Hospital Shenzhen University Shenzhen518055 China Institute of Stomatological Research Shenzhen University Shenzhen518055 China Chohotech Technology Co. Ltd. Lianchuang Street Yuhang District Hangzhou311422 China Singapore School of Computer Science Wuhan University Wuhan430072 China Wangxuan Institute of Computer Technology Peking University Beijing100871 China School of Artificial Intelligence Xidian University Xi’an710126 China State Key Laboratory of Internet of Things for Smart City University of Macau Taipa China The Faculty of Information Science and Engineering Ocean University of China Qingdao266100 China Digital Healthcare Department Daegu-Gyeongbuk Medical Innovation Foundation Daegu427724 Korea Republic of School of Life Science South China Normal University Guangzhou510631 China Information and Data Department Children’s Hospital Zhejiang University School of Medicine Hangzhou310000 China
Localization of the craniofacial landmarks from lateral cephalograms is a fundamental task in cephalometric analysis. The automation of the corresponding tasks has thus been the subject of intense research over the pa... 详细信息
来源: 评论
Reversible data hiding in JPEG images based on multiple histograms modification  5th
Reversible data hiding in JPEG images based on multiple hist...
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5th International Conference on Artificial Intelligence and security, ICAIS 2019
作者: Lu, Xing Huang, Fangjun Kim, Hyoung Joong Guangdong Provincial Key Laboratory of Information Security Technology School of Data and Computer Science Sun Yat-sen University GuangzhouGuangdong510006 China Graduate School of Information Security Korea University Seoul136-701 Korea Republic of
The joint photographic experts group (JPEG) is the most popular image on the internet nowadays. Therefore, reversible data hiding (RDH), which can be used to ensure the widely used JPEG images' originality and int... 详细信息
来源: 评论
An improved exact sampling algorithm for the standard normal distribution
arXiv
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arXiv 2020年
作者: Du, Yusong Fan, Baoying Wei, Baodian School of Data and Computer Science Sun Yat-sen University Guangzhou510006 China Guangdong Key Laboratory of Information Security Technology Guangzhou510006 China
In 2016, Karney proposed an exact sampling algorithm for the standard normal distribution. In this paper, we study the computational complexity of this algorithm under the random deviate model. Specifically, Karney’s... 详细信息
来源: 评论
Dense-captioning events in videos: Sysu submission to Activitynet Challenge 2020
arXiv
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arXiv 2020年
作者: Wang, Teng Zheng, Huicheng Yu, Mingjing School of Data and Computer Science Sun Yat-sen University Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangdong Province Key Laboratory of Information Security Technology China
This technical report presents a brief description of our submission to the dense video captioning task of ActivityNet Challenge 2020. Our approach follows a two-stage pipeline: first, we extract a set of temporal eve...
来源: 评论
Block Compressed Sensing-Based Joint Source-Channel Coding for Wireless Image Transmission
Block Compressed Sensing-Based Joint Source-Channel Coding f...
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International Conference on Wireless Communications and Signal Processing (WCSP)
作者: Leqi Zheng Tingting Zhu Xiao Ma School of Data and Computer Science Sun Yat-sen University Guangzhou China Guangdong Province Key Laboratory of Information Security Technology Sun Yat-sen University Guangzhou China
This paper presents a new joint source-channel coding (JSCC) scheme for wireless image transmission, which combines block compressed sensing (BCS) with systematic convolutional low density generator matrix (SC-LDGM) c... 详细信息
来源: 评论
Universal Physical Camouflage Attacks on Object Detectors
Universal Physical Camouflage Attacks on Object Detectors
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Lifeng Huang Chengying Gao Yuyin Zhou Cihang Xie Alan L. Yuille Changqing Zou Ning Liu School of Data and Computer Science Sun Yat-sen University Guangdong Key Laboratory of Information Security Technology Department of Computer Science The Johns Hopkins University Max Planck Institute for Informatics University of Maryland College Park
In this paper, we study physical adversarial attacks on object detectors in the wild. Previous works mostly craft instance-dependent perturbations only for rigid or planar objects. To this end, we propose to learn an ... 详细信息
来源: 评论
Dynamic NOMA-Based Computation Offloading in Vehicular Platoons
arXiv
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arXiv 2021年
作者: Zheng, Dongsheng Chen, Yingyang Wei, Lai Jiao, Bingli Hanzo, Lajos The Department of Electronics Peking University Beijing100871 China The College of Information Science and Technology Jinan University Guangzhou510632 China The Guangdong Provincial Key Laboratory of Data Security and Privacy Protection Jinan University Guangzhou510632 China The School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom
Both the Mobile edge computing (MEC)-based and fog computing (FC)-aided Internet of Vehicles (IoV) constitute promising paradigms of meeting the demands of low-latency pervasive computing. To this end, we construct a ... 详细信息
来源: 评论
Cross-modal consensus network for weakly supervised temporal action localization
arXiv
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arXiv 2021年
作者: Hong, Fa-Ting Feng, Jia-Chang Xu, Dan Shan, Ying Zheng, Wei-Shi School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Peng Cheng Laboratory Shenzhen China Tencent PCG Shenzhen China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China Department of Computer Science and Engineering HKUST Hong Kong Pazhou Lab Guangzhou China Guangdong Key Laboratory of Information Security Technology Sun Yat-sen University Guangzhou China
Weakly supervised temporal action localization (WS-TAL) is a challenging task that aims to localize action instances in the given video with video-level categorical supervision. Previous works use the appearance and m... 详细信息
来源: 评论
Improving fast segmentation with teacher-student learning  29
Improving fast segmentation with teacher-student learning
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29th British Machine Vision Conference, BMVC 2018
作者: Xie, Jiafeng Shuai, Bing Hu, Jian-Fang Lin, Jingyang Zheng, Wei-Shi School of Data and Computer Science Sun Yat-sen University China Nanyang Technological University Singapore Guangdong Key Laboratory of Information Security Technology China Key Laboratory of Machine Intelligence and Advanced Computing MOE Hong Kong
Recently, segmentation neural networks have been significantly improved by demonstrating very promising accuracies on public benchmarks. However, these models are very heavy and generally suffer from low inference spe... 详细信息
来源: 评论