Titlebook: Computer Vision, Imaging and Computer Graphics Theory and Applications; 17th International J A. Augusto de Sousa,Kurt Debattista,Kadi Bouat

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,Partial Alignment of?Time Series for?Action and?Activity Prediction, DTW (S-DTW). Specifically, these algorithms have the segregational capabilities of DTW combined with the soft-minimum operator of the S-DTW algorithm that results in improved, differentiable alignment in the case of continuous, unsegmented actions/activities. The developed algorithms are well-suite

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Autonomous Navigation Method Considering Passenger Comfort Recognition for Personal Mobility Vehiclusing a VR simulator. By focusing on situation awareness as a process affecting passenger comfort recognition, the influence of situation awareness on passenger comfort recognition was analyzed, and the characteristics of passenger comfort recognition were discussed. Based on the characteristics, re

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,MinMax-CAM: Increasing Precision of?Explaining Maps by?Contrasting Gradient Signals and?Regularizini-label scenarios, overstepping the boundaries of their explaining objects of interest onto objects of different classes. We propose a generalization of the Grad-CAM technique for the multi-label scenario that produces more focused explaining maps by maximizing the activation of a class of interest