activity
20142023
most citedA cross-domain recommender system using deep coupled autoencoders

3 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 2 cited

Motion-Based Sign Language Video Summarization using Curvature and Torsion

Evangelos G. Sartinas, Emmanouil Z. Psarakis, Dimitrios I. Kosmopoulos

An interesting problem in many video-based applications is the generation of short synopses by selecting the most informative frames, a procedure which is known as video summarizat…

quant-ph2022

Quantum Data Reduction with Application to Video Classification

Kostas Blekos, Dimitrios Kosmopoulos

We investigate a quantum video classification method using a hybrid algorithm. A quantum-classical step performs a data reduction on the video dataset and a quantum step -- which o…

cs.IR2021★ 3 cited

A cross-domain recommender system using deep coupled autoencoders

Alexandros Gkillas, Dimitrios Kosmopoulos

Long-standing data sparsity and cold-start constitute thorny and perplexing problems for the recommendation systems. Cross-domain recommendation as a domain adaptation framework ha…

cs.CL2021

Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation

Andreas Voskou, Konstantinos P. Panousis, Dimitrios Kosmopoulos +2

Automating sign language translation (SLT) is a challenging real world application. Despite its societal importance, though, research progress in the field remains rather poor. Cru…

stat.ML2021

Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation

Harris Partaourides, Andreas Voskou, Dimitrios Kosmopoulos +2

Memory-efficient continuous Sign Language Translation is a significant challenge for the development of assisted technologies with real-time applicability for the deaf. In this wor…

cs.CV2014★ 2 cited

A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis

Sotirios P. Chatzis

Unsupervised feature learning algorithms based on convolutional formulations of independent components analysis (ICA) have been demonstrated to yield state-of-the-art results in se…