1 citations · 1 across the 7 of their papers we have counts for
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Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes
Arwin Gansekoele, Emiel Hess, Sandjai Bhulai
The growing privacy concerns surrounding face image data demand new techniques that can guarantee user privacy. One such face recognition technique that claims to achieve better us…
A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations
Arwin Gansekoele, Alexios Balatsoukas-Stimming, Tom Brusse +3
As telecommunication systems evolve to meet increasing demands, integrating deep neural networks (DNNs) has shown promise in enhancing performance. However, the trade-off between a…
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption
Arwin Gansekoele, Tycho Bot, Rob van der Mei +2
Encryption on the internet with the shift to HTTPS has been an important step to improve the privacy of internet users. However, there is an increasing body of work about extractin…
Robustly overfitting latents for flexible neural image compression
Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai Bhulai
Neural image compression has made a great deal of progress. State-of-the-art models are based on variational autoencoders and are outperforming classical models. Neural compression…