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Hanxi Li
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Hanxi Li14 visible / 14 total nodes / 29 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipAuthorshipAuthorshipWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalHanxi LiAHanxi LiResearcherUniISP: A Unified ISP Framework for Both Human and Machine VisionWUniISP: A Unified ISP F...preprint / 2026Yao ChengAYao ChengResearcherBo ZhangABo ZhangResearcherLi ZengALi ZengResearcherReal-time Visual Tracking Using Sparse RepresentationWReal-time Visual Tracki...preprint / 2010Face Recognition using Optimal Representation EnsembleWFace Recognition using ...preprint / 2011DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual TrackingWDeepTrack: Learning Dis...preprint / 2015Computer VisionTComputer Vision30606 worksTotally Corrective Boosting for Regularized Risk MinimizationWTotally Corrective Boos...preprint / 2011Boosting through Optimization of Margin DistributionsWBoosting through Optimi...preprint / 2010Learning Discriminative Representations for Semantic Cross Media RetrievalWLearning Discriminative...preprint / 2015Robust and Real-time Deep Tracking Via Multi-Scale Domain AdaptationWRobust and Real-time De...preprint / 2017LACBoost and FisherBoost: Optimally Building Cascade ClassifiersWLACBoost and FisherBoos...preprint / 2010
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Hanxi Li

Researcher

PaperUniISP: A Unified ISP Framework for Both Human and Machine VisionAuthorship / preprint / 2026PersonYao ChengCo-authorship / ResearcherPersonBo ZhangCo-authorship / ResearcherPersonLi ZengCo-authorship / ResearcherPaperReal-time Visual Tracking Using Sparse RepresentationAuthorship / preprint / 2010PaperFace Recognition using Optimal Representation EnsembleAuthorship / preprint / 2011PaperDeepTrack: Learning Discriminative Feature Representations Online for Robust Visual TrackingAuthorship / preprint / 2015TopicComputer VisionWorks on / 30606 works

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