Maxim Monastyrny — accepted AI-conference papers

2026

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation

Ilia Indyk, Ignat Penshin, Ivan Sosin, Maxim Monastyrny, Aleksei Valenkov, Ilya Makarov

ICRA 2026poster

Fisheye cameras are increasingly adopted in robotics for near-field manipulation, navigation, and immersive perception, yet indoor depth benchmarks with accurate ground truth are still missing. To address this, we introduce WideDepth — the first indoor dataset for fisheye depth estimation, featuring…

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2025

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

Sergey Linok, Tatiana Zemskova, Svetlana Ladanova, Roman Titkov, Dmitry A. Yudin, Maxim Monastyrny +1

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 23 Source ↗code ↗Scholar ↗