Automated exam proctoring under overhead surveillance is challenging due to desk occlusion, privacy concerns, rare cheating events, and limited manual annotations. To address these issues, we propose a noise-aware proctoring framework based on Temporal Kinematic Network (TKNet), a topology-independent backbone that foc...
Dinh-Chinh Nguyen, H. Nguyen, Le-Hoang Mai et al.· International Conference on...· 0 citations
MagXCL, a unified framework designed to improve multimodal integration through more effective interaction between verbal and non-verbal modalities, is proposed, demonstrating the effectiveness of combining AMag with CrossCL to produce more accurate and robust multimodal sentiment predictions.
Experiments on the Time-MMD benchmark show that SCENARIODIFF is especially effective in event-driven domains, demonstrating the value of explicit hierarchical scenario guidance for multimodal time series forecasting.
Tuan-Binh Tran, Dat Nguyen Cong, Duc-Trong Le et al.· 0 citations
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