232 citations · 760 across the 30 of their papers we have counts for
8 papers · 1 filter
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…
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans
Paschalis Bizopoulos, Nicholas Vretos, Petros Daras
Recently there has been an explosion in the use of Deep Learning (DL) methods for medical image segmentation. However the field's reliability is hindered by the lack of a common ba…
Multi-view adaptive graph convolutions for graph classification
Nikolas Adaloglou, Nicholas Vretos, Petros Daras
In this paper, a novel multi-view methodology for graph-based neural networks is proposed. A systematic and methodological adaptation of the key concepts of classical deep learning…
A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition
Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis +7
In this paper, a comparative experimental assessment of computer vision-based methods for sign language recognition is conducted. By implementing the most recent deep neural networ…
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…
A Deep Learning Approach to Object Affordance Segmentation
Spyridon Thermos, Petros Daras, Gerasimos Potamianos
Learning to understand and infer object functionalities is an important step towards robust visual intelligence. Significant research efforts have recently focused on segmenting th…
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…
DeepSurf: A surface-based deep learning approach for the prediction of ligand binding sites on proteins
Stelios K. Mylonas, Apostolos Axenopoulos, Petros Daras
The knowledge of potentially druggable binding sites on proteins is an important preliminary step towards the discovery of novel drugs. The computational prediction of such areas c…