Towards modality-agnostic person re-identification with descriptive query
Person re-identification (ReID) with descriptive query (text or sketch) provides an important
supplement for general image-image paradigms, which is usually studied in a single cross …
supplement for general image-image paradigms, which is usually studied in a single cross …
An adaptive interference removal framework for video person re-identification
H Tao, Q Duan, J An - … Transactions on Circuits and Systems for …, 2023 - ieeexplore.ieee.org
Video person re-identification (V-ReID) can leverage rich spatial-temporal information
embedded in sequence data to achieve better accuracy. However, it is vulnerable to the …
embedded in sequence data to achieve better accuracy. However, it is vulnerable to the …
Multi-stage spatio-temporal aggregation transformer for video person re-identification
In recent years, the Transformer architecture has shown its superiority in the video-based
person re-identification task. Inspired by video representation learning, these methods …
person re-identification task. Inspired by video representation learning, these methods …
Sac-net: enhancing spatiotemporal aggregation in cervical histological image classification via label-efficient weakly supervised learning
Cervical cancer is the fourth most common cancer in women and its subtyping requires
examining histopathological slides or digital images, such as whole slide images (WSIs) …
examining histopathological slides or digital images, such as whole slide images (WSIs) …
Dual Consistency-Constrained Learning for Unsupervised Visible-Infrared Person Re-Identification
Unsupervised visible-infrared person re-identification (US-VI-ReID) aims at learning a cross-
modality matching model under unsupervised conditions, which is an extremely important …
modality matching model under unsupervised conditions, which is an extremely important …
Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
Unsupervised visible-infrared person re-identification (US-VI-ReID) centers on learning a
cross-modality retrieval model without labels reducing the reliance on expensive cross …
cross-modality retrieval model without labels reducing the reliance on expensive cross …
Information complementary attention-based multidimension feature learning for person re-identification
M Wang, H Ma, Y Huang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
With the need for criminal investigation technology and the development of deep learning,
the task of person re-identification has gradually become a research hotspot. Recently …
the task of person re-identification has gradually become a research hotspot. Recently …
A review on video person re-identification based on deep learning
H Ma, C Zhang, Y Zhang, Z Li, Z Wang, C Wei - Neurocomputing, 2024 - Elsevier
Abstract Person Re-Identification (ReID) is an essential technology for matching a person
across non-overlapping cameras. It has attracted increasing attention in recent years due to …
across non-overlapping cameras. It has attracted increasing attention in recent years due to …
Video person re-identification using attribute-enhanced features
In this work we propose to boost video-based person re-identification (Re-ID) by using
attribute-enhanced feature presentation. To this end, we not only try to use the ID-relevant …
attribute-enhanced feature presentation. To this end, we not only try to use the ID-relevant …
Pose-aided video-based person re-identification via recurrent graph convolutional network
Existing methods for video-based person re-identification (ReID) mainly learn the
appearance feature of a given pedestrian via a feature extractor and a feature aggregator …
appearance feature of a given pedestrian via a feature extractor and a feature aggregator …