The Context-Aware Student Engagement Detection (CASED) Challenge introduces a benchmark for estimating student engagement from short online lecture clips by integrating behavioral cues with instructor activity and lecture context. CASED contains 8,472 ten-second clips from 72 students, with a participant-independent sp...
Hanan Salam, Gulshan Sharma, Jia-Lin Li et al.· 0 citations
This work introduces XPlainVerse, a large-scale benchmark designed for joint deepfake detection and human-centered explanation, and proposes novel metrics, EntityScore and EvidenceScore, that measure reasoning fidelity by checking whether explanations correctly identify manipulated entities and visual evidence.
Abhijeet Narang, Kartik Kuckreja, Shreya Ghosh et al.· 0 citations
The Explainable Deepfake Detection Challenge at ACM Multimedia 2026 is designed to benchmark this joint capability of classification metrics with semantic similarity, simplicity, and intent-aware grounding metrics that assess whether explanations identify the relevant manipulated entities and supporting visual evidence...
