activity
20192021
most citedPano3D: A Holistic Benchmark and a Solid Baseline for Depth Estimation

51 citations · 87 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2021

Towards Full-to-Empty Room Generation with Structure-Aware Feature Encoding and Soft Semantic Region-Adaptive Normalization

Vasileios Gkitsas, Nikolaos Zioulis, Vladimiros Sterzentsenko +2

The task of transforming a furnished room image into a background-only is extremely challenging since it requires making large changes regarding the scene context while still prese…

cs.CV2021★ 51 cited

Pano3D: A Holistic Benchmark and a Solid Baseline for Depth Estimation

Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis +5

Pano3D is a new benchmark for depth estimation from spherical panoramas. It aims to assess performance across all depth estimation traits, the primary direct depth estimation perfo…

cs.CV2021★ 1 cited

PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes

V. Gkitsas, V. Sterzentsenko, N. Zioulis +2

The rising availability of commercial cameras that democratize indoor scanning, has increased the interest for novel applications, such as interior space re-design. Dim…

cs.CV2020

Deep Soft Procrustes for Markerless Volumetric Sensor Alignment

Vladimiros Sterzentsenko, Alexandros Doumanoglou, Spyridon Thermos +3

With the advent of consumer grade depth sensors, low-cost volumetric capture systems are easier to deploy. Their wider adoption though depends on their usability and by extension o…

cs.CV2019

Self-Supervised Deep Depth Denoising

Vladimiros Sterzentsenko, Leonidas Saroglou, Anargyros Chatzitofis +5

Depth perception is considered an invaluable source of information for various vision tasks. However, depth maps acquired using consumer-level sensors still suffer from non-negligi…

cs.CV2019★ 35 cited

A Low-Cost, Flexible and Portable Volumetric Capturing System

Vladimiros Sterzentsenko, Antonis Karakottas, Alexandros Papachristou +4

Multi-view capture systems are complex systems to engineer. They require technical knowledge to install and intricate processes to setup related mainly to the sensors' spatial alig…