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cs.CV2025
ESCA: Contextualizing Embodied Agents via Scene-Graph Generation
Jiani Huang, Amish Sethi, Matthew Kuo +6
Multi-modal large language models (MLLMs) are making rapid progress toward general-purpose embodied agents. However, existing MLLMs do not reliably capture fine-grained links betwe…
cs.CV2025
A Closer Look at Dynamic Scene Graph Generation In the Era of Multimodal Large Language Models
Xuanming Cui, Jaiminkumar Ashokbhai Bhoi, Chionh Wei Peng +2
Dynamic Scene Graph Generation (DSGG) aims to capture objects and their evolving relations in videos. Despite recent progress, the practicality and quality of generated scene graph…