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Person re-identification: A retrospective on domain specific open challenges and future trends
Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …
which aims to automatically recognize and locate individuals across a multi-camera network …
Discover cross-modality nuances for visible-infrared person re-identification
Visible-infrared person re-identification (Re-ID) aims to match the pedestrian images of the
same identity from different modalities. Existing works mainly focus on alleviating the …
same identity from different modalities. Existing works mainly focus on alleviating the …
Dynamic dual-attentive aggregation learning for visible-infrared person re-identification
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 …
retrieval problem. Due to the large intra-class variations and cross-modality discrepancy with …
HCFNN: high-order coverage function neural network for image classification
Recent advances in deep neural networks (DNNs) have mainly focused on innovations in
network architecture and loss function. In this paper, we introduce a flexible high-order …
network architecture and loss function. In this paper, we introduce a flexible high-order …
Pose-guided feature disentangling for occluded person re-identification based on transformer
Occluded person re-identification is a challenging task as human body parts could be
occluded by some obstacles (eg trees, cars, and pedestrians) in certain scenes. Some …
occluded by some obstacles (eg trees, cars, and pedestrians) in certain scenes. Some …
Omni-scale feature learning for person re-identification
As an instance-level recognition problem, person re-identification (ReID) relies on
discriminative features, which not only capture different spatial scales but also encapsulate …
discriminative features, which not only capture different spatial scales but also encapsulate …
Feature erasing and diffusion network for occluded person re-identification
Occluded person re-identification (ReID) aims at matching occluded person images to
holistic ones across different camera views. Target Pedestrians (TP) are often disturbed by …
holistic ones across different camera views. Target Pedestrians (TP) are often disturbed by …
Infrared-visible cross-modal person re-identification with an x modality
This paper focuses on the emerging Infrared-Visible cross-modal person re-identification
task (IV-ReID), which takes infrared images as input and matches with visible color images …
task (IV-ReID), which takes infrared images as input and matches with visible color images …
Identity-guided human semantic parsing for person re-identification
Existing alignment-based methods have to employ the pre-trained human parsing models to
achieve the pixel-level alignment, and cannot identify the personal belongings (eg …
achieve the pixel-level alignment, and cannot identify the personal belongings (eg …