Xiaolong Liu is a Principal Engineer and PhD in computer vision based in Wuhan with a decade of experience focused on deep learning for video understanding, particularly action recognition and detection. He has five first-author publications, including three at CVPR/TIP, and led research internships at Alibaba and Megvii that produced top-tier papers, patents, and a Tianchi competition on temporal event localization. Since December 2022 he has been applying his research skills at Huawei, transitioning academic advances into real-world systems. Known for bridging rigorous academic work with industrial impact, he combines strong publication pedigree and practical engineering to tackle long-video understanding problems. Outside publications, his homepage and GitHub reflect active work on reproducible CV research and tooling for large-scale video tasks.
Code for the paper "Multi-shot Temporal Event Localization: a Benchmark", CVPR 2021
Contributions:12 commits, 12 pushes, 15 comments in 1 year 3 months
pytorchdeep-learningtemporalbenchmarkcvpr
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