4 papers · 2 filters
VOST-SGG: VLM-Aided One-Stage Spatio-Temporal Scene Graph Generation
Chinthani Sugandhika, Chen Li, Deepu Rajan +1
Spatio-temporal scene graph generation (ST-SGG) aims to model objects and their evolving relationships across video frames, enabling interpretable representations for downstream re…
Know-Show: Benchmarking Video-Language Models on Spatio-Temporal Grounded Reasoning
Chinthani Sugandhika, Chen Li, Deepu Rajan +1
Large Video-Language Models (Video-LMs) have achieved impressive progress in multimodal understanding, yet their reasoning remains weakly grounded in space and time. We present Kno…
HMR3D: Hierarchical Multimodal Representation for 3D Scene Understanding with Large Vision-Language Model
Chen Li, Eric Peh, Basura Fernando
Recent advances in large vision-language models (VLMs) have shown significant promise for 3D scene understanding. Existing VLM-based approaches typically align 3D scene features wi…
IMoRe: Implicit Program-Guided Reasoning for Human Motion Q&A
Chen Li, Chinthani Sugandhika, Yeo Keat Ee +5
Existing human motion Q\&A methods rely on explicit program execution, where the requirement for manually defined functional modules may limit the scalability and adaptability. To…