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