84 citations · 301 across the 25 of their papers we have counts for
26 papers
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…
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…
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…
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…
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…
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…
Monocular Spherical Depth Estimation with Explicitly Connected Weak Layout Cues
Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas +1
Spherical cameras capture scenes in a holistic manner and have been used for room layout estimation. Recently, with the availability of appropriate datasets, there has also been pr…
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…
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…
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…
HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media
Anargyros Chatzitofis, Leonidas Saroglou, Prodromos Boutis +9
We introduce HUMAN4D, a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric captu…
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…
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…
Serverless Streaming for Emerging Media: Towards 5G Network-Driven Cost Optimization
Konstantinos Konstantoudakis, David Breitgand, Alexandros Doumanoglou +7
Immersive 3D media is an emerging type of media that captures, encodes and reconstructs the 3D appearance of people and objects, with applications in tele-presence, teleconference,…
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas
Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas +1
It has been shown that global scene understanding tasks like layout estimation can benefit from wider field of views, and specifically spherical panoramas. While much progress has…
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…
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…
Deep Lighting Environment Map Estimation from Spherical Panoramas
Vasileios Gkitsas, Nikolaos Zioulis, Federico Alvarez +2
Estimating a scene's lighting is a very important task when compositing synthetic content within real environments, with applications in mixed reality and post-production. In this…
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…
Restyling Data: Application to Unsupervised Domain Adaptation
Vasileios Gkitsas, Antonis Karakottas, Nikolaos Zioulis +2
Machine learning is driven by data, yet while their availability is constantly increasing, training data require laborious, time consuming and error-prone labelling or ground truth…
Spherical View Synthesis for Self-Supervised 360 Depth Estimation
Nikolaos Zioulis, Antonis Karakottas, Dimitrios Zarpalas +2
Learning based approaches for depth perception are limited by the availability of clean training data. This has led to the utilization of view synthesis as an indirect objective fo…
Surface Regression with a Hyper-Sphere Loss
Antonis Karakottas, Nikolaos Zioulis, Stamatis Samaras +4
Omnidirectional vision is becoming increasingly relevant as more efficient image acquisition is now possible. However, the lack of annotated datasets has hindered t…
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…
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…