Rezultaty 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 Publikacje Conference proceedings (10) Dialog speech sentiment classification for imbalanced datasets Autorzy: Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos Panousis, Sotirios Chatzis, Sergios Theodoridis Opublikowane w: Proceedings of SPECOM 2021, 2021 Wydawca: Springer Nature Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition Autorzy: Panousis, Konstantinos Panagiotis; Chatzis, Sotirios; Theodoridis, Sergios Opublikowane w: Proceedings of ISVC 2021, 2021 Wydawca: Springer Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness Autorzy: Konstantinos P. Panousis, Sotirios Chatzis, and Sergios Theodoridis Opublikowane w: NeurIPS Workshops 2022, 2021 Wydawca: NeurIPS DOI: 10.5281/zenodo.6000329 A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset Autorzy: Andreas Voskou, Konstantinos P. Panousis, Harris Partaourides, Kyriakos Tolias, Sotirios Chatzis Opublikowane w: Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023. p. 1966-1975, 2023 Wydawca: ICCVW2023 - ACVR DOI: 10.48550/arxiv.2310.04753 Local Competition and Stochasticity for Adversarial Robustness in Deep Learning Autorzy: Konstantinos Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis Opublikowane w: Proceedings of AISTATS 2021, 2021 Wydawca: PMLR DOI: 10.5281/zenodo.5498188 Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations Autorzy: Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis Opublikowane w: Proceedings of AAAI 2022, 2022 Wydawca: AAAI DOI: 10.5281/zenodo.6000363 Making Vision Networks Interpretable viaCompetition and Dissection Autorzy: Konstantinos Panousis, Sotirios Chatzis Opublikowane w: Proceedings of NeurIPS 2023, 2023 Wydawca: Konstantinos Panousis DOI: 10.48550/arxiv.2310.04929 Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation Autorzy: Voskou, Andreas; Panousis, Konstantinos P.; Kosmopoulos, Dimitrios; Metaxas, Dimitris N.; Chatzis, Sotirios Opublikowane w: Proc. ICCV 2021, 2021 Wydawca: ICCV DOI: 10.5281/zenodo.5498338 Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Autorzy: Konstantinos Kalais, Sotirios Chatzis Opublikowane w: Proc. ICML 2022, 2022 Wydawca: ICML DOI: 10.5281/zenodo.6580332 Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation Autorzy: Andreas Voskou, Konstantinos P. Panousis, Dimitrios Kosmopoulos, Dimitris N. Metaxas, Sotirios Chatzis Opublikowane w: Proceedings of IEEE ICCV 2021, 2021 Wydawca: IEEE Wyszukiwanie danych OpenAIRE... Podczas wyszukiwania danych OpenAIRE wystąpił błąd Brak wyników
