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Using Fan-Made Content, Subtitles and Face Recognition for Character-Centric Video Summarization., , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2020)Combining Textual and Visual Modeling for Predicting Media Memorability., , , , , and . MediaEval, volume 2670 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)ProZe: Explainable and Prompt-Guided Zero-Shot Text Classification., , , , and . IEEE Internet Comput., 26 (6): 69-77 (2022)Towards automatic understanding of narrative audiovisual content. (Vers la compréhension automatique de contenu audiovisuel narratif).. Sorbonne University, Paris, France, (2022)What You Say Is Not What You Do: Studying Visio-Linguistic Models for TV Series Summarization., and . ICCVW, page 3142-3146. IEEE, (2021)Stories of love and violence: zero-shot interesting events' classification for unsupervised TV series summarization., , , and . Multim. Syst., 29 (6): 3951-3969 (December 2023)Two Stages Approach for Tweet Engagement Prediction., , , , and . CoRR, (2020)Exploring Multimodality, Perplexity and Explainability for Memorability Prediction., , , and . MediaEval, volume 3181 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Predicting Media Memorability with Audio, Video, and Text representations., , , and . MediaEval, volume 2882 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)