MULTI-MODAL

作品数：173被引量：350H指数：9
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相关机构：广东柯内特环境科技有限公司暨南大学沈阳化工大学浙江师范大学更多>>
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ILP-Based Heuristics for the Multi-Modal Stable Matching Problem
《Tsinghua Science and Technology》2025年第2期479-487,共9页Yang Yang Rolf H.Möhring Junteng Song Yicheng Xu Yong Zhang 
supported by the National Key R&D Program of China(No.2022YFE0196100);the Guangxi Key Laboratory of Cryptography and Information Security(No.GCIS202116);the Fundamental Research Project of Shenzhen City(No.JCYJ20210324102012033);the Shenzhen Science and Technology Program(No.CJGJZD20210408092806017);the National Natural Science Foundation of China(Nos.12371321 and 12071460).
In this paper,we investigate the stable matching problem with multiple preferences in bipartite graphs,where each agent has various preference lists for all available partners with respect to different criteria.The pr...
关键词：stable matching MULTI-MODAL integer linear programming(ILP) 
Self-Aligning Multi-Modal Transformer for Oropharyngeal Swab Point Localization
《Tsinghua Science and Technology》2024年第4期1082-1091,共10页Tianyu Liu Fuchun Sun 
supported in part by the Sino-German Collaborative Research Project Crossmodal Learning(No.NSFC 62061136001/DFG TRR169).
The oropharyngeal swabbing is a pre-diagnostic procedure used to test various respiratory diseases, including COVID and Influenza A (H1N1). To improve the testing efficiency of testing, a real-time, accurate, and robu...
关键词：segmentation LOCALIZATION TRANSFORMER multi-modal perception robotic perception 
Fusing Geometrical and Visual Information via Superpoints for the Semantic Segmentation of 3D Road Scenes被引量：8
《Tsinghua Science and Technology》2020年第4期498-507,共10页Liuyuan Deng Ming Yang Zhidong Liang Yuesheng He Chunxiang Wang 
supported by the National Natural Science Foundation of China(No.U1764264/61873165);Shanghai Automotive Industry Science and Technology Development Foundation(No.1807);the International Chair on Automated Driving of Ground Vehicle.
This paper addresses the problem of the semantic segmentation of large-scale 3D road scenes by incorporating the complementary advantages of point clouds and images.To make full use of geometrical and visual informati...
关键词：SCENE understanding point cloud SEMANTIC segmentation MULTI-MODAL information fusion deep learning 
Machine Learning-Based Multi-Modal Information Perception for Soft Robotic Hands被引量：5
《Tsinghua Science and Technology》2020年第2期255-269,共15页Haiming Huang Junhao Lin Linyuan Wu Bin Fang Zhenkun Wen Fuchun Sun 
support provided by the National Natural Science Foundation of China (Nos. 61803267 and 61572328);the China Postdoctoral Science Foundation (No.2017M622757);the Beijing Science and Technology program (No.Z171100000817007);the National Science Foundation of China (NSFC) and the German Re-search Foundation (DFG) in the project Cross Modal Learning,NSFC 61621136008/DFG TRR-169
This paper focuses on multi-modal Information Perception(IP)for Soft Robotic Hands(SRHs)using Machine Learning(ML)algorithms.A flexible Optical Fiber-based Curvature Sensor(OFCS)is fabricated,consisting of a Light-Emi...
关键词：multi-modal sensors optical fiber gesture recognition object recognition Soft Robotic Hands(SRHs) Machine Learning(ML) 
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