activity
20172025
most citedA Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition

232 citations · 760 across the 30 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

eess.SP2019

An Improved Tobit Kalman Filter with Adaptive Censoring Limits

Kostas Loumponias, Nicholas Vretos, George Tsaklidis +1

This paper deals with the Tobit Kalman filtering (TKF) process when the measurements are correlated and censored. The case of interval censoring, i.e., the case of measurements whi…

cs.CV2019★ 2 cited

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…

cs.CV2019★ 8 cited

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…

cs.CV2019

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…

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★ 35 cited

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…