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cs.MM2024
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…
cs.MM2024
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…