34 citations · 100 across the 4 of their papers we have counts for
9 papers
Audio-based Near-Duplicate Video Retrieval with Audio Similarity Learning
Pavlos Avgoustinakis, Giorgos Kordopatis-Zilos, Symeon Papadopoulos +2
In this work, we address the problem of audio-based near-duplicate video retrieval. We propose the Audio Similarity Learning (AuSiL) approach that effectively captures temporal pat…
LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting
Christos Koutlis, Symeon Papadopoulos, Manos Schinas +1
Multivariate time series forecasting is of great importance to many scientific disciplines and industrial sectors. The evolution of a multivariate time series depends on the dynami…
Towards Semantic Detection of Smells in Cloud Infrastructure Code
Indika Kumara, Zoe Vasileiou, Georgios Meditskos +5
Automated deployment and management of Cloud applications relies on descriptions of their deployment topologies, often referred to as Infrastructure Code. As the complexity of appl…
Investigating the Impact of Pre-processing and Prediction Aggregation on the DeepFake Detection Task
Polychronis Charitidis, Giorgos Kordopatis-Zilos, Symeon Papadopoulos +1
Recent advances in content generation technologies (widely known as DeepFakes) along with the online proliferation of manipulated media content render the detection of such manipul…
MuSe 2020 -- The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop
Lukas Stappen, Alice Baird, Georgios Rizos +9
Multimodal Sentiment Analysis in Real-life Media (MuSe) 2020 is a Challenge-based Workshop focusing on the tasks of sentiment recognition, as well as emotion-target engagement and…
ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras +1
In this paper we introduce ViSiL, a Video Similarity Learning architecture that considers fine-grained Spatio-Temporal relations between pairs of videos -- such relations are typic…