ID-VTG: Image-Disambiguated Video Temporal Grounding
Video Temporal Grounding (VTG) faces significant challenges when natural language queries must distinguish between multiple events involving visually similar entities, particularly when relying on fine-grained visual attributes that are difficult to describe accurately in words alone. To address this, we introduce Image-Disambiguated Video Temporal Grounding (ID-VTG), a task that leverages multimodal queries combining a reference image and a text description to precisely localize segments where a specific instance performs a described action. To facilitate research, we construct two benchmarks
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- FuzzySimilar title/name (fuzzy) · 59%Tongyi-MAI/Z-Image-Turbo →
“Fuzzy title match (0.73): “ID-VTG: Image-Disambiguated Video Temporal Grounding” ≈ “Tongyi-MAI/Z-Image-Turbo””
- FuzzyOverlapping authors or contributors · 62%modular/modular →
“Shared author/contributor keys: liu”
- FuzzySimilar title/name (fuzzy) · 59%Developer-Y/cs-video-courses →
“Fuzzy title match (0.73): “ID-VTG: Image-Disambiguated Video Temporal Grounding” ≈ “Developer-Y/cs-video-courses””
- LinkedLinked via arxiv author · 85%Minghang Zheng →
“ID-VTG: Image-Disambiguated Video Temporal Grounding”
- LinkedLinked via arxiv author · 85%Jingli Wei →
“ID-VTG: Image-Disambiguated Video Temporal Grounding”
- LinkedLinked via arxiv author · 85%Hongyi Yang →
“ID-VTG: Image-Disambiguated Video Temporal Grounding”
- LinkedLinked via arxiv author · 85%Dongyang Liu →
“ID-VTG: Image-Disambiguated Video Temporal Grounding”