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Panagiotis Tsakalides

8 accepted papers

2026

THE MORE, THE MERRIER: CONTRASTIVE FUSION FOR HIGHER-ORDER MULTIMODAL ALIGNMENT

Stefanos Koutoupis, Michaela Areti Zervou, Konstantinos Kontras, Maarten De Vos, Panagiotis Tsakalides, Grigorios Tsagkatakis
CVPR 2026

Learning joint representations across multiple modalities remains a central challenge in multimodal machine learning. Prevailing approaches predominantly operate in pairwise settings, aligning two modalities at a time. While some recent methods aim to capture higher-order interactions among multiple

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2024

Multitask Classification of Antimicrobial Peptides for Simultaneous Assessment of Antimicrobial Property and Structural Fold

Michaela Areti Zervou, Effrosyni Doutsi, Yannis Pantazis, Panagiotis Tsakalides
ICASSP 2024accepted

Antimicrobial peptides (AMPs) play a significant role in guiding drug design, advancing targeted therapies, and cancer treatment research. The function of peptides is highly associated with their three-dimensional structure. AMPs particularly favor alpha-helical structures, or alpha-folds, due to th…

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2023

Efficient Protein Structural Class Prediction Via Chaos Game Representation and Recurrent Neural Networks

Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides
ICASSP 2023accepted

Predicting the structural class of a protein from its amino acid sequence is among the most significant problems in bioinformatics, especially for proteins with a low sequence similarity. While current methods using recurrent neural networks achieve a notable accuracy in this task, their approach re…

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2022

4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification

Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides
ICASSP 2022accepted

Multi-temporal remotely sensed observations acquired by multi-spectral sensors contain a wealth of information related to the Earth’s state. Deep learning methods have demonstrated a great potential in analyzing such observations. Traditional 2D and 3D approaches are unable to effectively extract va…

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2019

Alternating Direction Method of Multipliers for Semi-blind Astronomical Image Deconvolution

Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides
ICASSP 2019accepted

High resolution astronomical imagery plays a critical role in multiple remote sensing applications. In this work, we introduce a novel post-acquisition computational technique aiming to recover the high-quality versions of blurry and degraded astronomical observations. Additionally, the proposed sch…

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2019

Efficient Convolutional Neural Network Weight Compression for Space Data Classification on Multi-fpga Platforms

George Pitsis, Grigorios Tsagkatakis, Christos Kozanitis, Ioannis Kalomoiris, Aggelos Ioannou, Apostolos Dollas +2
ICASSP 2019accepted

Convolutional Neural Networks (CNNs) represent the cutting edge in signal analysis tasks like classification and regression. Realization of such architectures in hardware capable of performing high throughput computations, with minimal energy consumption, is a key enabling factor towards the prolife…

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2017

An online feature selection architecture for Human Activity Recognition

Katerina Karagiannaki, Athanasia Panousopoulou, Panagiotis Tsakalides
ICASSP 2017accepted

Human Activity Recognition (HAR) must currently face up to the challenge of rethinking analytics from the perspective of real-time operation, wherein biophysical sensing streams are efficiently intertwined at close vicinity to the point of sensing. As such, feature selection techniques, traditionall…

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