activity
20202025
most citedPano3D: A Holistic Benchmark and a Solid Baseline for Depth Estimation

51 citations · 77 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

On the Skinning of Gaussian Avatars

Nikolaos Zioulis, Nikolaos Kotarelas, Georgios Albanis +2

Radiance field-based methods have recently been used to reconstruct human avatars, showing that we can significantly downscale the systems needed for creating animated human avatar…

cs.CV2023★ 1 cited

BundleMoCap: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos

Georgios Albanis, Nikolaos Zioulis, Kostas Kolomvatsos

Capturing smooth motions from videos using markerless techniques typically involves complex processes such as temporal constraints, multiple stages with data-driven regression and…

cs.CV2023

Noise-in, Bias-out: Balanced and Real-time MoCap Solving

Georgios Albanis, Nikolaos Zioulis, Spyridon Thermos +2

Real-time optical Motion Capture (MoCap) systems have not benefited from the advances in modern data-driven modeling. In this work we apply machine learning to solve noisy unstruct…

cs.CV2022★ 19 cited

Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture

Nikolaos Zioulis, Georgios Albanis, Petros Drakoulis +3

In this work we introduce a biologically inspired long-range skip connection for the UNet architecture that relies on the perceptual illusion of hybrid images, being images that si…

cs.CV2021

A benchmark with decomposed distribution shifts for 360 monocular depth estimation

Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis +3

In this work we contribute a distribution shift benchmark for a computer vision task; monocular depth estimation. Our differentiation is the decomposition of the wider distribution…

cs.CV2021

On Coordinate Decoding for Keypoint Estimation Tasks

Anargyros Chatzitofis, Nikolaos Zioulis, Georgios Nikolaos Albanis +2

A series of 2D (and 3D) keypoint estimation tasks are built upon heatmap coordinate representation, i.e. a probability map that allows for learnable and spatially aware encoding an…

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★ 4 cited

SHREC 2020 track: 6D Object Pose Estimation

Honglin Yuan, Remco C. Veltkamp, Georgios Albanis +3

6D pose estimation is crucial for augmented reality, virtual reality, robotic manipulation and visual navigation. However, the problem is challenging due to the variety of objects…

cs.CV2020★ 1 cited

DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss

Georgios Albanis, Nikolaos Zioulis, Anastasios Dimou +2

In this work we consider UAVs as cooperative agents supporting human users in their operations. In this context, the 3D localisation of the UAV assistant is an important task that…