2 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
FocusGraph: Graph-Structured Frame Selection for Embodied Long Video Question Answering
Tatiana Zemskova, Solomon Andryushenko, Ilya Obrubov +4
Understanding long videos is crucial for embodied intelligent agents, as their performance depends on effectively accumulating and using long-horizon perceptual memories. Multimoda…
3DGraphLLM: Combining Semantic Graphs and Large Language Models for 3D Scene Understanding
Tatiana Zemskova, Dmitry Yudin
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 app…
Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph
Sergey Linok, Tatiana Zemskova, Svetlana Ladanova +4
Locating objects described in natural language presents a significant challenge for autonomous agents. Existing CLIP-based open-vocabulary methods successfully perform 3D object gr…
SegmATRon: Embodied Adaptive Semantic Segmentation for Indoor Environment
Tatiana Zemskova, Margarita Kichik, Dmitry Yudin +2
This paper presents an adaptive transformer model named SegmATRon for embodied image semantic segmentation. Its distinctive feature is the adaptation of model weights during infere…