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Video question answering via multi-granularity temporal attention network learning., , , , , , , and . ICIMCS, page 46:1-46:5. ACM, (2018)Hierarchical Temporal Fusion of Multi-grained Attention Features for Video Question Answering., , , , , , , and . Neural Process. Lett., 52 (2): 993-1003 (2020)Deep Learning for Weakly-Supervised Object Detection and Localization: A Survey., , , , , , , and . Neurocomputing, (2022)Natural Language Video Localization with Learnable Moment Proposals., , , , and . EMNLP (1), page 4008-4017. Association for Computational Linguistics, (2021)Video Relation Detection with Spatio-Temporal Graph., , , , , and . ACM Multimedia, page 84-93. ACM, (2019)Rethinking Multi-Modal Alignment in Video Question Answering from Feature and Sample Perspectives., , , , , and . CoRR, (2022)Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey., , , , , , , and . CoRR, (2021)Rethinking Multi-Modal Alignment in Multi-Choice VideoQA from Feature and Sample Perspectives., , , , , , and . EMNLP, page 8188-8198. Association for Computational Linguistics, (2022)Boundary Proposal Network for Two-stage Natural Language Video Localization., , , , , , and . AAAI, page 2986-2994. AAAI Press, (2021)Rethinking the Evaluation of Unbiased Scene Graph Generation., , , , , and . BMVC, page 279. BMVA Press, (2022)