Deliverables Documents, reports (3) Compression algorithms Network compression leveraging i the Bayesian inference arguments that underly the envisaged machine learning models of WP4 and WP5 ii network distillation approaches Generative system translating language to SL gesture trajectories The algorithms developed for translating language (speech/text) to SL trajectories, trained using the dataset of D5.1, and embedded into an AR environment. System translating SL footage to language The Deep Learning models aiD will devise to address the problem of generating text transcription and synthetic speech pertaining to SL video footage trained using the dataset of D41 Websites, patent fillings, videos etc. (1) Website and social media presence A public website and accounts in social media Publicity material including videos describing the project rationale and ambition Publications Conference proceedings (10) Dialog speech sentiment classification for imbalanced datasets Author(s): Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos Panousis, Sotirios Chatzis, Sergios Theodoridis Published in: Proceedings of SPECOM 2021, 2021 Publisher: Springer Nature Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition Author(s): Panousis, Konstantinos Panagiotis; Chatzis, Sotirios; Theodoridis, Sergios Published in: Proceedings of ISVC 2021, 2021 Publisher: Springer Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness Author(s): Konstantinos P. Panousis, Sotirios Chatzis, and Sergios Theodoridis Published in: NeurIPS Workshops 2022, 2021 Publisher: NeurIPS DOI: 10.5281/zenodo.6000329 A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset Author(s): Andreas Voskou, Konstantinos P. Panousis, Harris Partaourides, Kyriakos Tolias, Sotirios Chatzis Published in: Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023. p. 1966-1975, 2023 Publisher: ICCVW2023 - ACVR DOI: 10.48550/arxiv.2310.04753 Local Competition and Stochasticity for Adversarial Robustness in Deep Learning Author(s): Konstantinos Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis Published in: Proceedings of AISTATS 2021, 2021 Publisher: PMLR DOI: 10.5281/zenodo.5498188 Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations Author(s): Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis Published in: Proceedings of AAAI 2022, 2022 Publisher: AAAI DOI: 10.5281/zenodo.6000363 Making Vision Networks Interpretable viaCompetition and Dissection Author(s): Konstantinos Panousis, Sotirios Chatzis Published in: Proceedings of NeurIPS 2023, 2023 Publisher: Konstantinos Panousis DOI: 10.48550/arxiv.2310.04929 Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation Author(s): Voskou, Andreas; Panousis, Konstantinos P.; Kosmopoulos, Dimitrios; Metaxas, Dimitris N.; Chatzis, Sotirios Published in: Proc. ICCV 2021, 2021 Publisher: ICCV DOI: 10.5281/zenodo.5498338 Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Author(s): Konstantinos Kalais, Sotirios Chatzis Published in: Proc. ICML 2022, 2022 Publisher: ICML DOI: 10.5281/zenodo.6580332 Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation Author(s): Andreas Voskou, Konstantinos P. Panousis, Dimitrios Kosmopoulos, Dimitris N. Metaxas, Sotirios Chatzis Published in: Proceedings of IEEE ICCV 2021, 2021 Publisher: IEEE Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available