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aRTIFICIAL iNTELLIGENCE for the Deaf

Deliverables

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

Website and social media presence

A public website and accounts in social media Publicity material including videos describing the project rationale and ambition

Publications

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

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