Towards effective person search with deep learning: A survey from systematic perspective
Person search detects and retrieves simultaneously a query person across uncropped
scene images captured by multiple non-overlapping cameras. In light of the deep learning …
scene images captured by multiple non-overlapping cameras. In light of the deep learning …
Contrastive viewpoint-aware shape learning for long-term person re-identification
Abstract Traditional approaches for Person Re-identification (Re-ID) rely heavily on
modeling the appearance of persons. This measure is unreliable over longer durations due …
modeling the appearance of persons. This measure is unreliable over longer durations due …
Exploring fine-grained representation and recomposition for cloth-changing person re-identification
Cloth-changing person Re-IDentification (Re-ID) is a particularly challenging task, suffering
from two limitations of inferior discriminative features and limited training samples. Existing …
from two limitations of inferior discriminative features and limited training samples. Existing …
Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
Abstract Person Re-Identification (ReID) holds critical importance in computer vision with
pivotal applications in public safety and crime prevention. Traditional ReID methods reliant …
pivotal applications in public safety and crime prevention. Traditional ReID methods reliant …
Tackling Domain Shifts in Person Re-Identification: A Survey and Analysis
The necessity for a Person ReID system for rapidly evolving urban surveillance applications
is severely challenged by domain shifts-variations in data distribution that occur across …
is severely challenged by domain shifts-variations in data distribution that occur across …
Contrastive Clothing and Pose Generation for Cloth-Changing Person Re-Identification
Abstract Cloth-Changing Person Re-Identification (CCRe-ID) aims at matching an individual
across cameras after a long period of time presenting variations in clothing compounded …
across cameras after a long period of time presenting variations in clothing compounded …
An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-Identification
Person re-identification (ReID) has made great strides thanks to the data-driven deep
learning techniques. However, the existing benchmark datasets lack diversity, and models …
learning techniques. However, the existing benchmark datasets lack diversity, and models …
Bridging the Gap: Multi-level Cross-modality Joint Alignment for Visible-infrared Person Re-identification
Visible-Infrared person Re-IDentification (VI-ReID) is a challenging cross-modality image
retrieval task that aims to match pedestrians' images across visible and infrared cameras. To …
retrieval task that aims to match pedestrians' images across visible and infrared cameras. To …
Clothes-Changing Person Re-Identification with Feasibility-Aware Intermediary Matching
Current clothes-changing person re-identification (re-id) approaches usually perform
retrieval based on clothes-irrelevant features, while neglecting the potential of clothes …
retrieval based on clothes-irrelevant features, while neglecting the potential of clothes …
Identity-aware Dual-constraint Network for Cloth-Changing Person Re-identification
Cloth-Changing Person Re-Identification (CC-ReID) aims to accurately identify the target
person in more realistic surveillance scenarios, where pedestrians usually change their …
person in more realistic surveillance scenarios, where pedestrians usually change their …