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LifeQA: A Real-life Dataset for Video Question Answering.

, , , , , , and . LREC, page 4352-4358. European Language Resources Association, (2020)

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FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework., , , , , , , and . ACL (1), page 2925-2940. Association for Computational Linguistics, (2022)Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing., , , , , , , , , and 3 other author(s). CoRR, (2016)Understanding Human Actions in Video.. University of Michigan, USA, (2020)LifeQA: A Real-life Dataset for Video Question Answering., , , , , , and . LREC, page 4352-4358. European Language Resources Association, (2020)D3D: Distilled 3D Networks for Video Action Recognition., , , , and . CoRR, (2018)Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences., , , , , , , , , and 1 other author(s). CoRR, (2016)Temporal Action Localization by Structured Maximal Sums., , , and . CVPR, page 3215-3223. IEEE Computer Society, (2017)Fill-in-the-blank as a Challenging Video Understanding Evaluation Framework., , , , , , and . CoRR, (2021)Learning Video Representations from Textual Web Supervision., , , , , and . CoRR, (2020)The Michigan Data Science Team: A Data Science Education Program with Significant Social Impact., and . DSW, page 120-124. IEEE, (2018)