RGB-T image analysis technology and application: A survey

K Song, Y Zhao, L Huang, Y Yan, Q Meng - Engineering Applications of …, 2023 - Elsevier
Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …

Exploring dual-task correlation for pose guided person image generation

P Zhang, L Yang, JH Lai, X Xie - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Abstract Pose Guided Person Image Generation (PGPIG) is the task of transforming a
person image from the source pose to a given target pose. Most of the existing methods only …

Person Re-Identification with RGB–D and RGB–IR Sensors: A Comprehensive Survey

MK Uddin, A Bhuiyan, FK Bappee, MM Islam, M Hasan - Sensors, 2023 - mdpi.com
Learning about appearance embedding is of great importance for a variety of different
computer-vision applications, which has prompted a surge in person re-identification (Re-ID) …

Tri-modality consistency optimization with heterogeneous augmented images for visible-infrared person re-identification

T Si, F He, P Li, X Gao - Neurocomputing, 2023 - Elsevier
Visible-infrared person re-identification (VI-ReID) is a challenging technology due to the
large gap between daytime visible modality and night-time infrared modality. Previous …

MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection

T Chen, R Hong, Y Guo, S Hao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Major depressive disorder (MDD) is one of the most common and severe mental illnesses,
posing a huge burden on society and families. Recently, some multimodal methods have …

G2DA: Geometry-guided dual-alignment learning for RGB-infrared person re-identification

L Wan, Z Sun, Q Jing, Y Chen, L Lu, Z Li - Pattern Recognition, 2023 - Elsevier
RGB-Infrared (IR) person re-identification aims to retrieve person-of-interest from
heterogeneous cameras, easily suffering from large image modality discrepancy caused by …

Tri-level modality-information disentanglement for visible-infrared person re-identification

Z Lu, R Lin, H Hu - IEEE Transactions on Multimedia, 2023 - ieeexplore.ieee.org
Aiming to match the person identity between daytime VISible (VIS) and nighttime Near-
InfraRed (NIR) images, VIS-NIR re-identification (Re-ID) has attracted increasing attention …

Visible-infrared person re-identification with modality-specific memory network

Y Li, T Zhang, X Liu, Q Tian, Y Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Visible-infrared person re-identification (VI-ReID) is challenging due to the large modality
discrepancy between visible and infrared images. Existing methods mainly focus on …

Context-aware and part alignment for visible-infrared person re-identification

J Zhao, H Wang, Y Zhou, R Yao, L Zhang… - Image and Vision …, 2023 - Elsevier
Visible-infrared person re-identification (VI-ReID) is a challenging problem of matching a
person from visible and infrared modalities. Existing researches adopt the last convolutional …

View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network

Q Zhang, L Wang, VM Patel… - Proceedings of the …, 2024 - openaccess.thecvf.com
Existing person re-identification methods have achieved remarkable advances in
appearance-based identity association across homogeneous cameras such as ground …