1 citations · 3 across the 7 of their papers we have counts for
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Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali +3
As AI systems grow more capable, it becomes increasingly important that their decisions remain understandable and aligned with human expectations. A key challenge is the limited in…
From Cross-Modal to Mixed-Modal Visible-Infrared Re-Identification
Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali +2
Visible-infrared person re-identification (VI-ReID) aims to match individuals across different camera modalities, a critical task in modern surveillance systems. While current VI-R…
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
Mahdi Alehdaghi, Pourya Shamsolmoali, Rafael M. O. Cruz +1
A key challenge in visible-infrared person re-identification (V-I ReID) is training a backbone model capable of effectively addressing the significant discrepancies across modaliti…
Adaptive Generation of Privileged Intermediate Information for Visible-Infrared Person Re-Identification
Mahdi Alehdaghi, Arthur Josi, Pourya Shamsolmoali +2
Visible-infrared person re-identification seeks to retrieve images of the same individual captured over a distributed network of RGB and IR sensors. Several V-I ReID approaches dir…
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data
Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz +1
Visible-infrared person re-identification (V-I ReID) seeks to match images of individuals captured over a distributed network of RGB and IR cameras. The task is challenging due to…
Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data
Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz +1
The re-identification (ReID) of individuals over a complex network of cameras is a challenging task, especially under real-world surveillance conditions. Several deep learning mode…