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检索条件"机构=Key Laboratory of Computer Vision and Machine Learning"
337 条 记 录,以下是101-110 订阅
Parameter-Efficient Multi-Modal Tuning for Salient Object Detection
SSRN
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SSRN 2025年
作者: Zhang, Zixuan Shi, Fan Jia, Chen Wang, Mianzhao Louis, Assale Adje Cheng, Xu Engineering Research Center of Learning-Based Intelligent System Ministry of Education Tianjin University of Technology Tianjin300384 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin300384 China Yamoussoukro999063 Ivory Coast Smart Innovation Norway Norway
Salient object detection (SOD) is a key preprocessing step in various computer vision tasks, aiming to replicate the human visual system to identify the most significant objects or regions in images or videos. However... 详细信息
来源: 评论
Global TPACK Framework Analysis from the Perspective of Knowledge Graph  24
Global TPACK Framework Analysis from the Perspective of Know...
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Proceedings of the 2024 2nd International Conference on Information Education and Artificial Intelligence
作者: Yingchan Hu Jincheng Zhou Dan Wang Qingna Pan Duo Yang Yexue Pan Tao Hai Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province School of Computer and Information Qiannan Normal University for Nationalities Duyun Guizhou China Key Laboratory of Industrial Automation and Machine Vision of Guizhou Province School of Mathematics and Statistics Qiannan Normal University for Nationalities Duyun Guizhou China Affiliated Middle School of Qiannan Normal University for Nationalities Duyun Guizhou China
Currently, TPACK, as a teacher guidance framework, has received widespread attention from scholars both domestically and internationally. In order to elucidate the current status, focal points, and evolutionary patter... 详细信息
来源: 评论
A Commitment and Ring Signature based Scheme for Amount and Identity Privacy Protection in Blockchain
A Commitment and Ring Signature based Scheme for Amount and ...
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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
作者: Shiyong Huang Haocong Li Ruoting Xiong Wei Ren Jie He Yi Ren School of Computer Science China University of Geosciences Wuhan China Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou University China School of Computer Science Beijing Jiaotong University Beijing China School of Computing Science University of East Anglia Norwich UK Beijing Key Laboratory of Urban Spatial Information Engineering Beijing China
Blockchain has been envisioned as an anonymous cryptocurrency framework and can be applied in various applications such as e-payment, share economics, and distributed ledger. Although an account is anonymous, privacy ... 详细信息
来源: 评论
Edge Harmony Attention Network for Semi-Supervised Medical Image Segmentation
SSRN
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SSRN 2024年
作者: Lu, Manti Liu, Yang Chen, Yunzhu Yang, Feng School of Computer Electronics and Information Guangxi University Guangxi Nanning530004 China Center for Machine Vision and Signal Analysis University of Oulu OuluFI-90014 Finland Guangxi Key Laboratory of Multimedia Communications Network Technology Guangxi University Guangxi Nanning530004 China
Medical image segmentation is crucial for identifying and measuring lesions and tumors, but acquiring high-quality annotated images is costly and challenging. To address this issue, we propose the Edge Harmony Attenti... 详细信息
来源: 评论
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization
arXiv
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arXiv 2021年
作者: Mirza, Muhammad Jehanzeb Micorek, Jakub Possegger, Horst Bischof, Horst Institute for Computer Graphics and Vision Graz University of Technology Austria Christian Doppler Laboratory for Embedded Machine Learning Austria
Domain adaptation is crucial to adapt a learned model to new scenarios, such as domain shifts or changing data distributions. Current approaches usually require a large amount of labeled or unlabeled data from the shi... 详细信息
来源: 评论
MLP: Motion Label Prior for Temporal Sentence Localization in Untrimmed 3D Human Motions
arXiv
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arXiv 2024年
作者: Yan, Sheng Liu, Mengyuan Wang, Yong Liu, Yang Chen, Chen Liu, Hong School of Artificial Intelligence Chongqing University of Technology Chongqing401120 China Key Laboratory of Machine Perception Shenzhen Graduate School Peking University Shenzhen518055 China College of Computer Science Sichuan University Chengdu610065 China Center for Research in Computer Vision University of Central Florida FL32826 United States
In this paper, we address the unexplored question of temporal sentence localization in human motions (TSLM), aiming to locate a target moment from a 3D human motion that semantically corresponds to a text query. Consi... 详细信息
来源: 评论
Analysis of the Research Status of Information Technology Education Literature in China and Abroad  24
Analysis of the Research Status of Information Technology Ed...
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24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022
作者: Zhao, Yulin Liu, Kai Li, Junke School of Information Engineering Suqian University Jiangsu Suqian223800 China School of Computer and Information Qiannan Normal University for Nationalities Duyun558000 China Jiangsu Province Engineering Research Center of Smart Poultry Farming and Intelligent Equipment Jiangsu 223800 China Key Laboratory of Machine Learning and Unstructured Data Processing of Qiannan Duyun558000 China Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Duyun558000 China
Information technology education contributes to the development of national education. Understanding the research status of information technology education at home and abroad is helpful to the implementation of educa... 详细信息
来源: 评论
PCT-Cap: Point Cloud Transformer for Accurate 3D Capacitance Extraction
PCT-Cap: Point Cloud Transformer for Accurate 3D Capacitance...
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Electronics Design Automation (ISEDA), International Symposium of
作者: Ye Cai Yuyao Liang Zhipeng Luo Biwei Xie Xingquan Li College of Computer Science and Software Engineering Shenzhen University Shenzhen China Peng Cheng Laboratory Shenzhen China Center of Machine Learning and Optimization Minnan Normal University Zhangzhou China State Key Lab of Processors Chinese Academy of Sciences Institute of Computing Technology Beijing China
Accurate parasitic capacitance extraction becomes increasingly essential in advanced technology nodes. 2.5D ex-traction requires more effort to maintain accuracy comparable to the 3D solver. In this work, two experime... 详细信息
来源: 评论
Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers
arXiv
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arXiv 2024年
作者: Xie, Jinxia Zhong, Bineng Mo, Zhiyi Zhang, Shengping Shi, Liangtao Song, Shuxiang Ji, Rongrong Key Laboratory of Education Blockchain and Intelligent Technology Ministry of Education China Guangxi Key Lab of Multi-Source Information Mining & Security China Guangxi Normal University Guilin541004 China Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou University China School of Computer Science and Technology Harbin Institute of Technology China Media Analytics and Computing Lab School of Informatics Xiamen University China
The rich spatio-temporal information is crucial to capture the complicated target appearance variations in visual tracking. However, most top-performing tracking algorithms rely on many hand-crafted components for spa... 详细信息
来源: 评论
An Efficient Domain-Incremental learning Approach to Drive in All Weather Conditions
arXiv
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arXiv 2022年
作者: Mirza, Muhammad Jehanzeb Masana, Marc Possegger, Horst Bischof, Horst Institute of Computer Graphics and Vision Graz University of Technology Austria Christian Doppler Laboratory for Embedded Machine Learning Austria TU Graz SAL Dependable Embedded Systems Lab Silicon Austria Labs Austria
Although deep neural networks enable impressive visual perception performance for autonomous driving, their robustness to varying weather conditions still requires attention. When adapting these models for changed env... 详细信息
来源: 评论