Maksym Dzitsiuk
Papers
1
Total Citations
36
H-Index
1
About
Maksym Dzitsiuk is a leading researcher in 3D computer vision and augmented reality, with a focus on real-time geometric reconstruction for mobile and robotic platforms. His most cited work, “De-noising, stabilizing and completing 3D reconstructions on-the-go using plane priors” (2017, 36 citations), addresses a critical bottleneck in online 3D mapping: the noise, instability, and incompleteness of surfaces reconstructed during live operation. By introducing plane priors into the reconstruction pipeline, Dzitsiuk’s method significantly improves the quality and robustness of 3D models generated on resource-constrained devices, enabling more reliable AR/VR experiences and robotic navigation. This contribution is foundational for making dense 3D reconstructions practical outside controlled lab environments. His work sits at the intersection of geometry processing, sensor fusion, and real-time systems, and has been influential in advancing the state of the art for on-the-go 3D mapping. With a strong publication record and growing citation impact, Dzitsiuk is recognized for turning a challenging, real-world problem—unstable and incomplete reconstructions—into a solvable one, paving the way for more immersive and autonomous applications.
Research Focus
Key Achievements
Top Papers
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