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20172025
most citedPano3D: A Holistic Benchmark and a Solid Baseline for Depth Estimation

51 citations · 144 across the 16 of their papers we have counts for

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25 papers · 1 filter

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.CV2024

Towards Practical Single-shot Motion Synthesis

Konstantinos Roditakis, Spyridon Thermos, Nikolaos Zioulis

Despite the recent advances in the so-called "cold start" generation from text prompts, their needs in data and computing resources, as well as the ambiguities around intellectual…

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.CV2023★ 4 cited

KBody: Towards general, robust, and aligned monocular whole-body estimation

Nikolaos Zioulis, James F. O'Brien

KBody is a method for fitting a low-dimensional body model to an image. It follows a predict-and-optimize approach, relying on data-driven model estimates for the constraints that…

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…