Search Results for author: Sho Maeoki

Found 2 papers, 0 papers with code

Video Moment Retrieval with Text Query Considering Many-to-Many Correspondence Using Potentially Relevant Pair

no code implementations25 Jun 2021 Sho Maeoki, Yusuke Mukuta, Tatsuya Harada

In this paper, we propose a novel training method that takes advantage of potentially relevant pairs, which are detected based on linguistic analysis about text annotation.

Moment Retrieval Retrieval +1

Interactive Video Retrieval with Dialog

no code implementations7 May 2019 Sho Maeoki, Kohei Uehara, Tatsuya Harada

We propose a system to retrieve videos by asking questions about the content of the videos and leveraging the user's responses to the questions.

Retrieval Video Retrieval

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