2 papers
eess.IV2026
ARCHE: Autoregressive Residual Compression with Hyperprior and Excitation
Sofia Iliopoulou, Dimitris Ampeliotis, Athanassios Skodras
Recent progress in learning-based image compression has demonstrated that end-to-end optimization can substantially outperform traditional codecs by jointly learning compact latent…
cs.HC2026
Parameter-Efficient Deep Learning for Ultrasound-Based Human-Machine Interfaces
Antonios Lykourinas, Chinmay Pendse, Francky Catthoor +3
Ultrasound (US) has emerged as a promising modality for Human-Machine Interfaces (HMIs), with recent research efforts exploring its potential for Hand Pose Estimation (HPE). A reli…