Vadim Ezhov

2 accepted papers

2026

Radar-Guided Polynomial Fitting for Metric Depth Estimation

Patrick Rim, Hyoungseob Park, Vadim Ezhov, Jeffrey Moon, Alex Wong

CVPR 2026

We propose POLAR, a novel radar-guided depth estimation method that introduces polynomial fitting to efficiently transform scaleless depth predictions from pretrained monocular depth estimation (MDE) models into metric depth maps. Unlike existing approaches that rely on complex architectures or expe

Cited by 0 Source ↗Scholar ↗

2024

All-day Depth Completion

Vadim Ezhov, Hyoungseob Park, Zhaoyang Zhang, Rishi Upadhyay, Howard Zhang, Chethan Chinder Chandrappa +4

IROS 2024poster

We propose a method for depth estimation under different illumination conditions, i.e., day and night time. As photometry is uninformative in regions under low-illumination, we tackle the problem through a multi-sensor fusion approach, where we take as input an additional synchronized sparse point c…

Cited by 3 Source ↗code ↗Scholar ↗