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cs.CV2026
Mind the Student: Behavioral and Contextual Cues for Automated Engagement Prediction in Online Learning
Alperen Kantarci, Visvanathan Ramesh, Gemma Roig
The prediction of student engagement from the online tutoring videos is difficult because engagement is a multidimensional construct comprising distinct behavioral, emotional, and…
cs.CV2025
synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?
Johannes Flotzinger, Fabian Deuser, Achref Jaziri +4
Adequate bridge inspection is increasingly challenging in many countries due to growing ailing stocks, compounded with a lack of staff and financial resources. Automating the key t…
cs.CV2025
Uncertainty-Aware Decomposed Hybrid Networks
Sina Ditzel, Achref Jaziri, Iuliia Pliushch +1
The robustness of image recognition algorithms remains a critical challenge, as current models often depend on large quantities of labeled data. In this paper, we propose a hybrid…