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Filling the Information Gap between Video and Query for Language-Driven Moment Retrieval.

, , , , , , , , and . ACM Multimedia, page 4190-4199. ACM, (2023)

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Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-grained Student Ensemble., , , , , and . CoRR, (2022)Gaussian Kernel-Based Cross Modal Network for Spatio-Temporal Video Grounding., , and . ICIP, page 2481-2485. IEEE, (2022)Reducing the Vision and Language Bias for Temporal Sentence Grounding., , and . ACM Multimedia, page 4092-4101. ACM, (2022)Dense Object Grounding in 3D Scenes., , and . ACM Multimedia, page 5017-5026. ACM, (2023)Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization., , , , , and . ACM Multimedia, page 4070-4078. ACM, (2020)Unsupervised Temporal Video Grounding with Deep Semantic Clustering., , , , , , , and . AAAI, page 1683-1691. AAAI Press, (2022)Memory-Guided Semantic Learning Network for Temporal Sentence Grounding., , , , , and . AAAI, page 1665-1673. AAAI Press, (2022)Reasoning Step-by-Step: Temporal Sentence Localization in Videos via Deep Rectification-Modulation Network., , , and . COLING, page 1841-1851. International Committee on Computational Linguistics, (2020)Learning to Focus on the Foreground for Temporal Sentence Grounding., and . COLING, page 5532-5541. International Committee on Computational Linguistics, (2022)Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding., , and . EMNLP (1), page 9302-9311. Association for Computational Linguistics, (2021)