no code implementations • 6 Jul 2023 • Mahdi Alehdaghi, Arthur Josi, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger
In this paper, the Adaptive Generation of Privileged Intermediate Information training approach is introduced to adapt and generate a virtual domain that bridges discriminant information between the V and I modalities.
1 code implementation • 29 Apr 2023 • Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger
For realistic evaluation of multimodal (and cross-modal) V-I person ReID models, we propose new challenging corrupted datasets for scenarios where V and I cameras are co-located (CL) and not co-located (NCL).
1 code implementation • 22 Nov 2022 • Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger
Several deep learning models have been proposed for visible-infrared (V-I) person ReID to recognize individuals from images captured using RGB and IR cameras.
1 code implementation • 19 Sep 2022 • Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz, Eric Granger
% This paper introduces a novel approach for a creating intermediate virtual domain that acts as bridges between the two main domains (i. e., RGB and IR modalities) during training.