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A team led by Associate Professor Yang Zhixin from the\nState Key Laboratory of the Internet of Things for Smart City and the\nDepartment of Electromechanical Engineering, Faculty of Science and Technology,\nUniversity of Macau (UM), and Wang Shizheng, an associate professor from the School of\nMicroelectronics, Chinese Academy of Sciences (CAS), recently won a second\nprize in the UG2+ Prize Challenge at the Institute of Electrical and\nElectronics Engineers (IEEE) Conference on Computer Vision and Pattern\nRecognition (CVPR 2019).<\/p>
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This year\u2019s event attracted 260 research teams around\nthe world, including artificial intelligence (AI) companies such as SenseTime,\nJingDong, Meitu Lab, and Hikivision. After the knockout stage, four research\nteams were left to compete for the final awards in a challenge titled \u2018Object\nClassification on Video from Unconstrained Mobility Platforms\u2019. The joint team\nformed by UM and CAS won the second prize of the competition for the\nperformance of its research achievements based on the multidimensional test\ncriteria. In addition, the team gave a speech titled \u2018Selective Enhancement for\nObject Classification in Complicated Environment\u2019. Members of UM in the team\nincluded PhD students Tang Lulu and Luo Luqing from UM\u2019s State Key Laboratory\nof the Internet of Things for Smart City.<\/p>
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The UG2+ Prize Challenge was divided into two tracks,\nnamely \u2018Video Object Classification and Detection from Unconstrained Mobility\nPlatforms\u2019 and \u2018Object Detection in Poor Visibility Environments\u2019. Under the\ntwo tracks, there are five sub-challenges. The UM-CAS joint team joined a\nsub-challenge under the first track, titled \u2018Object Classification Improvement\non Video\u2019. The challenge aimed to enhance the object classification accuracy on\nvideos from unconstrained mobility platforms. The other awarded research teams\nincluded a team formed by the CAS and the Northeast University, as well as\nteams from Honeywell Intl, the Technical University of Munich, Sunway.AI: Joint\nResearch Union, and Meitu Inc.<\/p>
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CVPR is one of the top three computer vision conferences\nin the world. The UG2+ Prize Challenge is co-organised by CVPR, related\ngovernment departments, as well as academic and research companies in the\nfield. The event aimed to evaluate and explore the accuracy and robustness of the\nmost advanced computer vision algorithms for the tasks of object detection and\nclassification in extreme conditions.<\/p>
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Source: Faculty of Science and Technology<\/p>
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Media Contact Information:Communications Office, University of Macau<\/p>
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Albee Lei Tel\uff1a(853) 88228004Kelvin U Tel\uff1a(853) 88224322Email\uff1aprs.media@um.edu.moUM Website\uff1awww.um.edu.mo<\/p>
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