activity
20172022
most citedServerless Streaming for Emerging Media: Towards 5G Network-Driven Cost Optimization

15 citations · 15 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and Desnowing

Sotiris Karavarsamis, Alexandros Doumanoglou, Konstantinos Konstantoudakis +1

We present the Cross-stitched Multi-task Unified Dual Recursive Network (CMUDRN) model targeting the task of unified deraining and desnowing in a multi-task learning setting. This…

cs.NI202115 cited

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,…

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

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…

cs.CV2017

Non-linear Convolution Filters for CNN-based Learning

Georgios Zoumpourlis, Alexandros Doumanoglou, Nicholas Vretos +1

During the last years, Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance in image classification. Their architectures have largely drawn inspiration b…