no code implementations • 2 Dec 2021 • G. Melotti, W. Lu, P. Conde, D. Zhao, A. Asvadi, N. Gonçalves, C. Premebida
It is demonstrated that the proposed technique reduces overconfidence in the false positives without degrading the performance on the true positives.
no code implementations • 17 Jun 2016 • C. Premebida, L. Garrote, A. Asvadi, A. Pedro Ribeiro, U. Nunes
High resolution depth-maps, obtained by upsampling sparse range data from a 3D-LIDAR, find applications in many fields ranging from sensory perception to semantic segmentation and object detection.