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cs.AI2026
RAO-Nav: Probing Omni-Language Models for Zero-shot Semantic Audio-Visual Navigation
Qilang Ye, Meng Liu, Yu Zhou
We explore whether Omni-Language Models (OLMs) can be directly applied to zero-shot Semantic Audio-Visual Navigation (SAVN). Recent work demonstrates that even state-of-the-art spe…
cs.CV2026
MAVIS: Multi-Agent Video Retrieval via Structured Video Understanding
Jie Zhang, Qilang Ye, Hao Zhou +2
The dominant paradigm in video retrieval relies on embedding-based full-corpus scanning, which suffers from inherent computational inefficiency and the semantic asymmetry between i…
cs.CV2026
Retrieving to Recover: Towards Incomplete Audio-Visual Question Answering via Semantic-consistent Purification
Jiayu Zhang, Shuo Ye, Qilang Ye +3
Recent Audio-Visual Question Answering (AVQA) methods have advanced significantly. However, most AVQA methods lack effective mechanisms for handling missing modalities, suffering f…