Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nakada, Shota"'
In this paper, we propose and design a new task called audio moment retrieval (AMR). Unlike conventional language-based audio retrieval tasks that search for short audio clips from an audio database, AMR aims to predict relevant moments in untrimmed
Externí odkaz:
http://arxiv.org/abs/2409.15672
Current audio-visual representation learning can capture rough object categories (e.g., ``animals'' and ``instruments''), but it lacks the ability to recognize fine-grained details, such as specific categories like ``dogs'' and ``flutes'' within anim
Externí odkaz:
http://arxiv.org/abs/2409.11729
We propose Lighthouse, a user-friendly library for reproducible video moment retrieval and highlight detection (MR-HD). Although researchers proposed various MR-HD approaches, the research community holds two main issues. The first is a lack of compr
Externí odkaz:
http://arxiv.org/abs/2408.02901
In this paper, we propose an efficient and high-performance method for partially relevant video retrieval, which aims to retrieve long videos that contain at least one moment relevant to the input text query. The challenge lies in encoding dense fram
Externí odkaz:
http://arxiv.org/abs/2312.00414
Publikováno v:
In Journal of Fluids and Structures August 2022 113
Autor:
Yoshida, Kozue, Ono, Fumiyasu, Chouno, Takehiro, Nakada, Shota, Ikegami, Yasuhiro, Shirakigawa, Nana, Sakai, Yusuke, Ijima, Hiroyuki
Publikováno v:
In Journal of Bioscience and Bioengineering July 2021 132(1):71-80
Publikováno v:
In Journal of Wind Engineering & Industrial Aerodynamics September 2018 180:213-230