Improving CNN-based Person Re-identification using score Normalization

A Chouchane, A Ouamane, Y Himeur… - … on Image Processing …, 2023 - ieeexplore.ieee.org
Person re-identification (PRe-ID) is a crucial task in security, surveillance, and retail
analysis, which involves identifying an individual across multiple cameras and views …

Visible–infrared person re-identification via patch-mixed cross-modality learning

Z Qian, Y Lin, B Du - Pattern Recognition, 2025 - Elsevier
Visible–infrared person re-identification (VI-ReID) aims to retrieve images of the same
pedestrian from different modalities, where the challenges lie in the significant modality …

CMOT: A cross-modality transformer for RGB-D fusion in person re-identification with online learning capabilities

H Mukhtar, MUG Khan - Knowledge-Based Systems, 2024 - Elsevier
Person re-identification (reID) is a crucial aspect of intelligent surveillance systems, enabling
the recognition of individuals across non-overlapping camera views. As compared to the …

One Model to Rule Them All: A Universal Transformer for Biometric Matching

M Abdrakhmanova, A Yermekova, Y Barko… - IEEE …, 2024 - ieeexplore.ieee.org
This study introduces the first single branch network designed to tackle a spectrum of
biometric matching scenarios, including unimodal, multimodal, cross-modal, and missing …

[HTML][HTML] Research on Isomorphic Task Transfer Algorithm Based on Knowledge Distillation in Multi-Agent Collaborative Systems

C Bo, S Liu, Y Liu, Z Guo, J Wang, J Xu - Sensors, 2024 - mdpi.com
In response to the increasing number of agents and changing task scenarios in multi-agent
collaborative systems, existing collaborative strategies struggle to effectively adapt to new …

EfficientNet-EA for Visual Location Recognition in Natural Scenes

H Zhang, Y Chen, Y Liu - IEEE Robotics and Automation …, 2024 - ieeexplore.ieee.org
In natural scenarios, the visual location recognition often experiences reduced accuracy
because of variations in weather, lighting, camera angles, and occlusions caused by …

Discovering attention-guided cross-modality correlation for visible-infrared person re-identification

H Yu, X Cheng, KHM Cheng, W Peng, Z Yu, G Zhao - Pattern Recognition, 2024 - Elsevier
Visible-infrared person re-identification (VI Re-ID) is an essential and challenging task.
Existing studies mainly focus on learning the unified modality-invariant representations …

Partial Enhancement and Channel Aggregation for Visible-Infrared Person Re-Identification

W JING, Z LI - IEICE TRANSACTIONS on Information and Systems, 2025 - search.ieice.org
Visible-infrared person re-identification (VI-ReID) aims to achieve cross-modality matching
between the visible and infrared modalities, thus enabling usage in all-day monitoring …

Enhanced Thermal Human Detection in Military Applications Using Deep Learning

R Elgohary, AK Mahmoud, O Khaled… - 2024 International …, 2024 - ieeexplore.ieee.org
For monitoring and recognizing objects, thermal detection is crucial, particularly in sectors
like the military. Typical imaging techniques employ light; thermal imaging uses heat …

[PDF][PDF] A Survey on Thermal to Visual Cross Domain Face Recognition

Y Gavini, BM Mehtre, V Govindaraju, A Agarwal - Authorea Preprints, 2024 - techrxiv.org
Thermal to visual cross-domain face recognition is the process of recognising faces
captured in the thermal domain and matching them with the visual domain images. Its …