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BuyuLiCurriculumVitaeBlibuyubraitenoutlookcomhttpslibuyugithubio


Education2012212016DepartmentofElectronicEngineeringTsinghuaUniversityBachelorofEn-gineeringBeijingChina201721presentDepartmentofElectronicEngineeringTheChineseUniversityofHongKongPhDStudentHongKongWo

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Document on Subject : "BuyuLiCurriculumVitaeBlibuyubraitenoutlookcomhttpslibuyugithubio"— Transcript:

1 BuyuLiCurriculumVitaeBlibuyu_braiten@out
BuyuLiCurriculumVitaeBlibuyu_braiten@outlook.comÍhttps://libuyu.github.io Education{20122016DepartmentofElectronicEngineering,TsinghuaUniversity,BachelorofEn-gineering,Beijing,China.{2017presentDepartmentofElectronicEngineering,TheChineseUniversityofHongKong,PhDStudent,HongKong.WorkingatMultimediaLaboratoryandresearchingintheareaofcomputervision. WorkExperience{20162017SensetimeResearch,ComputerVisionResearcher,Beijing,China.*IjoinedthegroupforthecompetitionofILSVRC2016.Ourteamwonthe1stinbothtask1aand1b.*Intheintelligentvideoproject,Iwasresponsibleforthepedestriankey-pointestimationmoduleandimprovedthealgorithmaccuracybyaround20%comparedwiththelastversionwithnolossofspeed. Research&Projects{AAAI2019(Oral)GradientHarmonizedSingle-stageDetector,BuyuLi*,YuLiu*,XiaogangWang.*Werstpointoutthattheessentialeectofthetwostatesofdisharmonycanbesummarizedintermofthegradient.Further,weproposeanovelgradientharmonizingmechanismtobeahedgingforthedisharmony.*Codeisavailibleathttps://github.com/libuyu/GHM_Detection{CVPR2019GS3D:AnEcient3DObjectDetectionFra

2 meworkforAutonomousDriv-ing,BuyuLi,Wangl
meworkforAutonomousDriv-ing,BuyuLi,WangliOuyang,LuSheng,XingyuZeng,XiaogangWang.*Wepresentanecient3DobjectdetectionframeworkbasedonasingleRGBimageinthescenarioofautonomousdriving.{CVPR2019GridR-CNN,XinLu,BuyuLi,YuxinYue,QuanquanLi,JunjieYan.*ThispaperproposesanovelobjectdetectionframeworknamedGridR-CNN,whichadoptsagridguidedlocalizationmechanismforaccurateobjectdetection. {AAAI2020Monocular3DObjectDetectionwithDecoupledStructuredPolygonEsti-mationandHeight-GuidedDepthEstimation,YingjieCai,BuyuLi,ZeyuJiao,HongshengLi,XingyuZeng,XiaogangWang.*thispaperproposesanoveluniedframeworkwhichdecomposesthedetectionproblemintoastructuredpolygonpredictiontaskandadepthrecoverytask.{CVPR2020EqualizationLossforLong-TailedObjectRecognition,JingruTan,ChangbaoWang,BuyuLi,QuanquanLi,WanliOuyang,ChangqingYin,JunjieYan.*Weproposeasimplebuteectiveloss,namedequalizationloss,totackletheproblemoflong-tailedrarecategories.Withtheutilizationoftheeectiveequalizationloss,wenallywonthe1stplaceintheLVISChallenge2019.*Codeisavailibleathttps://github.com/tztztztztz/eql.detectron