Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual Scenarios
On the map: LLM reasoning → Audio-language model reasoning
Abstract (arXiv)
Audio-visual question answering (AVQA) is a challenging task that requires multistep spatio-temporal reasoning over multimodal contexts. Recent works rely on elaborate target-agnostic parsing of audio-visual scenes for spatial grounding while mistreating audio and video as separate entities for temporal grounding. This paper proposes a new target-aware joint spatio-temporal grounding network for AVQA. It consists of two key components: the target-aware spatial grounding module (TSG) and the single-stream joint audio-visual temporal grounding module (JTG). The TSG can focus on audio-visual cues relevant to the query subject by utilizing explicit semantics from the question. Unlike previous two-stream temporal grounding modules that required an additional audio-visual fusion module, JTG incorporates audio-visual fusion and question-aware temporal grounding into one module with a simpler single-stream architecture. The temporal synchronization between audio and video in the JTG is facilitated by our proposed cross-modal synchrony loss (CSL). Extensive experiments verified the effectiveness of our proposed method over existing state-of-the-art methods.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Placed in Audio-language model reasoning, one of 17 directions in LLM reasoning. Builds on 26 of its 37 references that are in the map. First posted on arXiv 21 May 2023.
Builds on
26 of 37 references.
References · 26
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14 more
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Built on by
Citing papers per year: 2024: 6; 2025: 2.
8 papers.
- 2024Ref-AVS: Refer and Segment Objects in Audio-Visual Scenescited by 32
- 2024Boosting Audio Visual Question Answering via Key Semantic-Aware Cuescited by 14
- 2024Patch-level Sounding Object Tracking for Audio-Visual Question Answeringcited by 12
- 2024Hear Me, See Me, Understand Me: Audio-Visual Autism Behavior Recognitioncited by 5
- 2024CLIP-Powered TASS: Target-Aware Single-Stream Network for Audio-Visual Question Answeringcited by 4
- 2025Music Audio-Visual Question Answering Requires Specialized Multimodal Designscited by 4
- 2024SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answeringcited by 2
- 2025AV-Master: Dual-Path Comprehensive Perception Makes Better Audio-Visual Question Answeringcited by 2
- 2025AV-Master: Dual-Path Comprehensive Perception Makes Better Audio-Visual Question Answering21 Oct 2025
- 2025Music Audio-Visual Question Answering Requires Specialized Multimodal Designs27 May 2025
- 2024Patch-level Sounding Object Tracking for Audio-Visual Question Answering14 Dec 2024
- 2024SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering7 Nov 2024
- 2024Boosting Audio Visual Question Answering via Key Semantic-Aware Cues30 Jul 2024
- 2024Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes15 Jul 2024
- 2024CLIP-Powered TASS: Target-Aware Single-Stream Network for Audio-Visual Question Answering13 May 2024
- 2024Hear Me, See Me, Understand Me: Audio-Visual Autism Behavior Recognition22 Mar 2024
Similar, not cited
Close in wording, no citation either way
- 2026Listen, See and Track: Spatio-Temporal Audio-Visual Sound Event Reasoning for Omni-Modal Language Models
- 2025Pinpointing Trigger Moment for Grounded Video QA: Enhancing Spatio-temporal Grounding in Multimodal Large Language Models
- 2025Question-Aware Gaussian Experts for Audio-Visual Question Answering
- 2026Spatial Audio Question Answering and Reasoning on Dynamic Source Movements
- 2025Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task
- 2025Bridging Vision Language Models and Symbolic Grounding for Video Question Answering
- 2025OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs
- 2022AGQA 2.0: An Updated Benchmark for Compositional Spatio-Temporal Reasoning