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个人简介
Most recently, my research interests have revolved around the broad goal of empowering more users to be able to leverage machine learning techniques to analyze video. Commercialized or otherwise deployed use cases of ML in video analytics today are typically focused on a narrow range of applications, often of questionable utility, such as privacy-intrusive surveillance and facial recognition. My (perhaps misguided) hope is that, by reducing the effort and expertise needed to implement ML pipelines, we can enable more applications that are beneficial (or at least not detrimental) to society.
研究兴趣
论文共 31 篇作者统计合作学者相似作者
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Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)pp.16726-16736, (2023)
CAV (1)pp.459-484, (2023)
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