5 papers
Teager-Kaiser Energy Methods For EEG Feature Extraction In Biomedical Applications
Ioanna Chourdaki, Kleanthis Avramidis, Christos Garoufis +2
Electroencephalography (EEG) signals are inherently non-linear, non-stationary, and vulnerable to noise sources, making the extraction of discriminative features a long-standing ch…
NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results
Andrey Moskalenko, Alexey Bryncev, Ivan Kosmynin +40
This paper presents an overview of the NTIRE 2026 Challenge on Video Saliency Prediction. The goal of the challenge participants was to develop automatic saliency map prediction me…
CVSM: Contrastive Vocal Similarity Modeling
Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
The availability of large, unlabeled datasets across various domains has contributed to the development of a plethora of methods that learn representations for multiple target (dow…
Classical Guitar Duet Separation using GuitarDuets -- a Dataset of Real and Synthesized Guitar Recordings
Marios Glytsos, Christos Garoufis, Athanasia Zlatintsi +1
Recent advancements in music source separation (MSS) have focused in the multi-timbral case, with existing architectures tailored for the separation of distinct instruments, overlo…
Pre-training Music Classification Models via Music Source Separation
Christos Garoufis, Athanasia Zlatintsi, Petros Maragos
In this paper, we study whether music source separation can be used as a pre-training strategy for music representation learning, targeted at music classification tasks. To this en…