RGB-infrared cross-modality person re-identification via joint pixel and feature alignment

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Occluded person re-identification with deep learning: a survey and perspectives

E Ning, C Wang, H Zhang, X Ning, P Tiwari - Expert systems with …, 2024 - Elsevier
Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …
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A review of multimodal image matching: Methods and applications

X Jiang, J Ma, G ** cameras. With the advancement of deep neural networks and increasing …
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Unsupervised misaligned infrared and visible image fusion via cross-modality image generation and registration

D Wang, J Liu, X Fan, R Liu - arxiv preprint arxiv:2205.11876, 2022 - arxiv.org
Recent learning-based image fusion methods have marked numerous progress in pre-
registered multi-modality data, but suffered serious ghosts dealing with misaligned multi …
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Dynamic dual-attentive aggregation learning for visible-infrared person re-identification

M Ye, J Shen, D J. Crandall, L Shao, J Luo - Computer Vision–ECCV 2020 …, 2020 - Springer
Visible-infrared person re-identification (VI-ReID) is a challenging cross-modality pedestrian
retrieval problem. Due to the large intra-class variations and cross-modality discrepancy with …
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