2 citations · 5 across the 5 of their papers we have counts for
8 papers
RGraph-Eval: Task-Grounded Scene Graphs for Evaluating Robot Video Generation
Aleksandr Lazarev, Sofia Zimina, Roman Kuznetsov +3
Generated robot videos can look convincing while depicting the wrong interaction: a different object is moved, a grasp disappears, or a placement ends outside its destination. We i…
Omni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs
Zijian Liu, Chaoyou Fu, Yan Yang +2
Recent Omni LLMs (OLLMs) have demonstrated remarkable capabilities in joint audio-visual reasoning, yet cross-modal hallucinations remain a major challenge. Existing mitigation met…
OVSegDT: Segmenting Transformer for Open-Vocabulary Object Goal Navigation
Tatiana Zemskova, Aleksei Staroverov, Dmitry Yudin +1
Open-vocabulary Object Goal Navigation requires an embodied agent to reach objects described by free-form language, including categories never seen during training. Existing end-to…
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…
Interactive Semantic Map Representation for Skill-based Visual Object Navigation
Tatiana Zemskova, Aleksei Staroverov, Kirill Muravyev +2
Visual object navigation using learning methods is one of the key tasks in mobile robotics. This paper introduces a new representation of a scene semantic map formed during the emb…
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…
Analytical solution of linearized equations of the Morris-Lecar neuron model at large constant stimulation
A. V. Paraskevov, T. S. Zemskova
The classical biophysical Morris-Lecar model of neuronal excitability predicts that upon stimulation of the neuron with a sufficiently large constant depolarizing current there exi…