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An in-depth exploration of person re-identification and gait recognition in cloth-changing conditions
The target of person re-identification (ReID) and gait recognition is consistent, that is to
match the target pedestrian under surveillance cameras. For the cloth-changing problem …
match the target pedestrian under surveillance cameras. For the cloth-changing problem …
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-overlap** cameras. It has attracted increasing attention in recent years due to …
across non-overlap** cameras. It has attracted increasing attention in recent years due to …
Image-specific information suppression and implicit local alignment for text-based person search
Text-based person search (TBPS) is a challenging task that aims to search pedestrian
images with the same identity from an image gallery given a query text. In recent years …
images with the same identity from an image gallery given a query text. In recent years …
Deep learning-based person re-identification methods: A survey and outlook of recent works
In recent years, with the increasing demand for public safety and the rapid development of
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …
TF-CLIP: Learning text-free CLIP for video-based person re-identification
Large-scale language-image pre-trained models have shown superior performances on
many cross-modal retrieval tasks. However, the problem of transferring the knowledge …
many cross-modal retrieval tasks. However, the problem of transferring the knowledge …
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 …
Salient-to-broad transition for video person re-identification
Due to the limited utilization of temporal relations in video re-id, the frame-level attention
regions of mainstream methods are partial and highly similar. To address this problem, we …
regions of mainstream methods are partial and highly similar. To address this problem, we …
Multi-agent reinforcement learning for cooperative air transportation services in city-wide autonomous urban air mobility
The development of urban-air-mobility (UAM) is rapidly progressing with spurs, and the
demand for efficient transportation management systems is a rising need due to the …
demand for efficient transportation management systems is a rising need due to the …
Multidirection and multiscale pyramid in transformer for video-based pedestrian retrieval
In video surveillance, pedestrian retrieval (also called person reidentification) is a critical
task. This task aims to retrieve the pedestrian of interest from nonoverlap** cameras …
task. This task aims to retrieve the pedestrian of interest from nonoverlap** cameras …
Adaptive uncertainty-based learning for text-based person retrieval
Text-based person retrieval aims at retrieving a specific pedestrian image from a gallery
based on textual descriptions. The primary challenge is how to overcome the inherent …
based on textual descriptions. The primary challenge is how to overcome the inherent …