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Normalized Contrastive Learning for Text-Video Retrieval.

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Multimodal Grounding for Sequence-to-sequence Speech Recognition., , , , and . ICASSP, page 8648-8652. IEEE, (2019)CMU-UCR-BOSCH @ TRECVID 2017: VIDEO TO TEXT RETRIEVAL., , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2017)VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding., , , , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 4227-4239. Association for Computational Linguistics, (2021)A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition., , , , , , , , , and 17 other author(s). ICASSP, page 8111-8115. IEEE, (2013)Universal Phone Recognition with a Multilingual Allophone System., , , , , , , , , and 1 other author(s). ICASSP, page 8249-8253. IEEE, (2020)Informedia @ TRECVID 2014., , , , , , , , , and 21 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2014)Multilingual Phonetic Dataset for Low Resource Speech Recognition., , , and . ICASSP, page 6958-6962. IEEE, (2021)CTC Alignments Improve Autoregressive Translation., , , , , , and . EACL, page 1615-1631. Association for Computational Linguistics, (2023)On Leveraging the Visual Modality for Neural Machine Translation., , , , and . INLG, page 147-151. Association for Computational Linguistics, (2019)Normalized Contrastive Learning for Text-Video Retrieval., , , , , , and . EMNLP, page 248-260. Association for Computational Linguistics, (2022)