Arsenii Shirokov — accepted AI-conference papers

2026

Unified Sensor Simulation for Autonomous Driving

Nikolay Patakin, Arsenii Shirokov, Anton Konushin, Dmitry Senushkin

IJCAI 2026

In this work, we introduce XSIM, a sensor simulation framework for autonomous driving. XSIM extends 3DGUT splatting with a generalized rolling-shutter modeling tailored for autonomous driving applications. Our framework provides a unified and flexible formulation for appearance and geometric sensor

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2026

Visual Implicit Geometry Transformer for Autonomous Driving

Arsenii Shirokov, Mikhail Kuznetsov, Danila Stepochkin, Egor Evdokimov, Daniil Glazkov, Nikolay Patakin +2

IJCAI 2026

We introduce the Visual Implicit Geometry Transformer (ViGT), an autonomous driving geometric model that estimates continuous 3D occupancy fields from surround-view camera rigs. ViGT represents a step towards foundational geometric models for autonomous driving, prioritizing scalability, architectur

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