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20222026
most citedLearning to Answer Questions in Dynamic Audio-Visual Scenarios

5 citations · 5 across the 10 of their papers we have counts for

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cs.CV2026

AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs

Yaoting Wang, Ziyi Zhang, Wenming Tu +10

Recent advances in Omni-Multimodal Large Language Models (Omni-MLLMs) have enabled strong integration of vision, audio, and language. However, their audio-visual intelligence (AVI)…

cs.CV2025

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation

Jinxing Zhou, Zhihui Li, Yongqiang Yu +7

We present \textbf{Met}a-\textbf{T}oken \textbf{Le}arning (Mettle), a simple and memory-efficient method for adapting large-scale pretrained transformer models to downstream audio-…

cs.CV2025

Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation

Henghui Du, Guangyao Li, Chang Zhou +3

In recent years, numerous tasks have been proposed to encourage model to develop specified capability in understanding audio-visual scene, primarily categorized into temporal local…

cs.CV2024

Boosting Audio Visual Question Answering via Key Semantic-Aware Cues

Guangyao Li, Henghui Du, Di Hu

The Audio Visual Question Answering (AVQA) task aims to answer questions related to various visual objects, sounds, and their interactions in videos. Such naturally multimodal vide…

cs.CV2024

Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes

Yaoting Wang, Peiwen Sun, Dongzhan Zhou +3

Traditional reference segmentation tasks have predominantly focused on silent visual scenes, neglecting the integral role of multimodal perception and interaction in human experien…

cs.CV2023

Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer

Yaoting Wang, Weisong Liu, Guangyao Li +3

Never having seen an object and heard its sound simultaneously, can the model still accurately localize its visual position from the input audio? In this work, we concentrate on th…

cs.CV2023

Progressive Spatio-temporal Perception for Audio-Visual Question Answering

Guangyao Li, Wenxuan Hou, Di Hu

Audio-Visual Question Answering (AVQA) task aims to answer questions about different visual objects, sounds, and their associations in videos. Such naturally multi-modal videos are…

cs.CV2022★ 5 cited

Learning to Answer Questions in Dynamic Audio-Visual Scenarios

Guangyao Li, Yake Wei, Yapeng Tian +3

In this paper, we focus on the Audio-Visual Question Answering (AVQA) task, which aims to answer questions regarding different visual objects, sounds, and their associations in vid…