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Frame Selection for Producing Recipe with Pictures from an Execution Video of a Recipe.

, , , и . CEA@ICMR, стр. 9-16. ACM, (2019)

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Kumi Nishimura

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Другие публикации лиц с тем же именем

Cross-modal Representation Learning for Understanding Manufacturing Procedure., , , , и . HCI (11), том 13312 из Lecture Notes in Computer Science, стр. 44-57. Springer, (2022)Egocentric Biochemical Video-and-Language Dataset., , , , , , , и . ICCVW, стр. 3122-3126. IEEE, (2021)Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows., , , , , , и . COLING, стр. 3570-3577. International Committee on Computational Linguistics, (2022)Visual Grounding Annotation of Recipe Flow Graph., , , , , , , и . LREC, стр. 4275-4284. European Language Resources Association, (2020)Frame Selection for Producing Recipe with Pictures from an Execution Video of a Recipe., , , и . CEA@ICMR, стр. 9-16. ACM, (2019)Text-driven Affordance Learning from Egocentric Vision., , , и . CoRR, (2024)BioVL-QR: Egocentric Biochemical Video-and-Language Dataset Using Micro QR Codes., , , , , , , , , и . CoRR, (2024)Multimodal Dish Pairing: Predicting Side Dishes to Serve with a Main Dish., , , и . CEA++@MM, стр. 1-9. ACM, (2022)Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos., , , , , , и . CoRR, (2023)Image Description Dataset for Language Learners., , , , , и . LREC, стр. 6814-6821. European Language Resources Association, (2022)