232 citations
- P. Daras13 · h 47
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- Giorgos Kordopatis-Zilos4 · h 15
- Centre for Research and Technology HellasGR56 papers
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8 papers · 1 filter
A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions
Athanasios Ch. Kapoutsis, Savvas A. Chatzichristofis, Elias B. Kosmatopoulos
This paper presents a distributed algorithm applicable to a wide range of practical multi-robot applications. In such multi-robot applications, the user-defined objectives of the m…
p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks
Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris
In this work, we aim to classify nodes of unstructured peer-to-peer networks with communication uncertainty, such as users of decentralized social networks. Graph Neural Networks (…
HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media
Anargyros Chatzitofis, Leonidas Saroglou, Prodromos Boutis +9
We introduce HUMAN4D, a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric captu…
DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors
Anargyros Chatzitofis, Dimitrios Zarpalas, Stefanos Kollias +1
In this paper, a marker-based, single-person optical motion capture method (DeepMoCap) is proposed using multiple spatio-temporally aligned infrared-depth sensors and retro-reflect…
Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders
Christodoulos Kechris, Alexandros Delitzas, Vasileios Matsoukas +1
Extracellular recordings are severely contaminated by a considerable amount of noise sources, rendering the denoising process an extremely challenging task that should be tackled f…
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
Giorgos Kordopatis-Zilos, Christos Tzelepis, Symeon Papadopoulos +2
In this paper, we address the problem of high performance and computationally efficient content-based video retrieval in large-scale datasets. Current methods typically propose eit…