4 papers · 1 filter
DETECLAP: Enhancing Audio-Visual Representation Learning with Object Information
Shota Nakada, Taichi Nishimura, Hokuto Munakata +2
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…
Language-based Audio Moment Retrieval
Hokuto Munakata, Taichi Nishimura, Shota Nakada +1
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…
Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight Detection
Taichi Nishimura, Shota Nakada, Hokuto Munakata +1
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…
On the Audio Hallucinations in Large Audio-Video Language Models
Taichi Nishimura, Shota Nakada, Masayoshi Kondo
Large audio-video language models can generate descriptions for both video and audio. However, they sometimes ignore audio content, producing audio descriptions solely reliant on v…