4 papers
Defending against Stegomalware in Deep Neural Networks with Permutation Symmetry
Birk Torpmann-Hagen, Michael A. Riegler, PÃ¥l Halvorsen +1
Deep neural networks are being utilized in a growing number of applications, both in production systems and for personal use. Network checkpoints are as a consequence often shared…
ExposureEngine: Oriented Logo Detection and Sponsor Visibility Analytics in Sports Broadcasts
Mehdi Houshmand Sarkhoosh, Frøy Ãye, Henrik Nestor Sørlie +5
Quantifying sponsor visibility in sports broadcasts is a critical marketing task traditionally hindered by manual, subjective, and unscalable analysis methods. While automated syst…
Probabilistic Runtime Verification, Evaluation and Risk Assessment of Visual Deep Learning Systems
Birk Torpmann-Hagen, PÃ¥l Halvorsen, Michael A. Riegler +1
Despite achieving excellent performance on benchmarks, deep neural networks often underperform in real-world deployment due to sensitivity to minor, often imperceptible shifts in i…
Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis
Pegah Salehi, Sajad Amouei Sheshkal, Vajira Thambawita +5
This paper examines the integration of real-time talking-head generation for interviewer training, focusing on overcoming challenges in Audio Feature Extraction (AFE), which often…