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Tatiana Zemskova

3 accepted papers

2025

3DGraphLLM: Combining Semantic Graphs and Large Language Models for 3D Scene Understanding

ICCV 2025poster

A 3D scene graph represents a compact scene model by capturing both the objects present and the semantic relationships between them, making it a promising structure for robotic applications. To effectively interact with users, an embodied intelligent agent should be able to answer a wide range of na…

2025

Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph

ICRA 2025

Locating objects described in natural language presents a significant challenge for autonomous agents. Existing CLIP-based open-vocabulary methods successfully perform 3D object grounding with simple (bare) queries, but cannot cope with ambiguous descriptions that demand an understanding of object r

Cited by 23SourcecodeScholar
2022

Aligning individual brains with fused unbalanced Gromov Wasserstein

NeurIPS 2022accept

Individual brains vary in both anatomy and functional organization, even within a given species. Inter-individual variability is a major impediment when trying to draw generalizable conclusions from neuroimaging data collected on groups of subjects. Current co-registration procedures rely on limited…