@proceedings {149, title = {Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation}, journal = {Proceedings of the IEEE/CVF International Conference on Computer Vision}, year = {2021}, pages = {11946-11955}, abstract = {Automating sign language translation (SLT) is a challenging real-world application. Despite its societal importance, though, research progress in the field remains rather poor. Crucially, existing methods that yield viable performance necessitate the availability of laborious to obtain gloss sequence groundtruth. In this paper, we attenuate this need, by introducing an end-to-end SLT model that does not entail explicit use of glosses; the model only needs text groundtruth. This is in stark contrast to existing end-to-end models that use gloss sequence groundtruth, either in the form of a modality that is recognized at an intermediate model stage, or in the form of a parallel output process, jointly trained with the SLT model. Our approach constitutes a Transformer network with a novel type of layers that combines: (i) local winner-takes-all (LWTA) layers with stochastic winner sampling, instead of conventional ReLU layers, (ii) stochastic weights with posterior distributions estimated via variational inference, and (iii) a weight compression technique at inference time that exploits estimated posterior variance to perform massive, almost lossless compression. We demonstrate that our approach can reach the currently best reported BLEU-4 score on the PHOENIX 2014T benchmark, but without making use of glosses for model training, and with a memory footprint reduced by more than 70\%.}, author = {Andreas Voskou and Konstantinos Panousis and Dimitrios Kosmopoulos and Dimitris Metaxas and Sotirios Chatzis} } @article {131, title = {A Survey on Developing Personalized Content Services in Museums}, journal = {Pervasive and Mobile Computing}, volume = {47}, year = {2018}, pages = {54-77}, abstract = {

The personalized content services in museums are motivated by the need to enhance the visitors{\textquoteright} experience through recommendations which consider the context of their visit, and by the need of curators to measure objectively the exhibition{\textquoteright}s impact. We survey the latest advancements in the fields of indoor localization, visitor

profiling, content storage and presentation, as well as curator visualization tools, which are the main elements of such systems, and we highlight their strengths and weaknesses. We present an information architecture, whichmay offer useful insights to researchers and developers. Finally, we present the current challenges and the future

trends.

}, author = {Dimitrios I. Kosmopoulos and George Styliaras} } @article {11, title = {A system for multi-camera task recognition and summarization for structured environments}, journal = {Industrial Informatics, IEEE Transactions on}, volume = {9}, year = {2013}, pages = {161-171}, issn = {1551-3203}, doi = {10.1109/TII.2012.2212712}, author = {D. Kosmopoulos and A. Voulodimos and Doulamis, A.D.} } @article {12, title = {Signal Modeling and Classification Using a Robust Latent Space Model Based on t Distributions}, journal = {Signal Processing, IEEE Transactions on}, volume = {56}, year = {2008}, month = {March}, pages = {949 -963}, keywords = {Bayes methods, Bayesian inference, factor analysis modeling, inference mechanisms, robust latent space model, signal classification, signal modeling, signal processing, statistical distributions, t distribution, variational inference algorithm}, issn = {1053-587X}, doi = {10.1109/TSP.2007.907912}, author = {Sotirios P. Chatzis and D. Kosmopoulos and Varvarigou, T.A.} } @article {22, title = {Superquadric Segmentation in Range Images via Fusion of Region and Boundary Information}, journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, volume = {30}, year = {2008}, month = {may}, pages = {781 -795}, keywords = {Algorithms, Artificial Intelligence, Automated, computer vision, Computer-Assisted, edge detection, game theory, game-theoretic framework, Image Enhancement, Image Interpretation, image segmentation, Imaging, iterative methods, model-based edge detection, multiple object segmentation, Pattern Recognition, Reproducibility of Results, robot vision, Sensitivity and Specificity, Subtraction Technique, superquadric segmentation, Three-Dimensional}, issn = {0162-8828}, doi = {10.1109/TPAMI.2007.70736}, author = {Katsoulas, D.K. and Bastidas, C.C. and D. Kosmopoulos} } @article {35, title = {A system for the acquisition of reproducible digital skin lesions images}, journal = {Technology and Health Care}, volume = {11}, year = {2004}, pages = {425{\textendash}441}, keywords = {camera calibration, color constancy, image analysis, reproducible images, skin lesion inspection, telemedicine}, issn = {0928-7329}, author = {Maglogiannis, Ilias and Kosmopoulos, Dimitrios I.} }