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Deep gait recognition: A survey
Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …
on the way they walk. Deep learning has reshaped the research landscape in this area …
Machine and deep learning for resource allocation in multi-access edge computing: A survey
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
Clothes-changing person re-identification with rgb modality only
The key to address clothes-changing person re-identification (re-id) is to extract clothes-
irrelevant features, eg, face, hairstyle, body shape, and gait. Most current works mainly focus …
irrelevant features, eg, face, hairstyle, body shape, and gait. Most current works mainly focus …
Gait recognition in the wild with dense 3d representations and a benchmark
Existing studies for gait recognition are dominated by 2D representations like the silhouette
or skeleton of the human body in constrained scenes. However, humans live and walk in the …
or skeleton of the human body in constrained scenes. However, humans live and walk in the …
Bottom-up human pose estimation via disentangled keypoint regression
In this paper, we are interested in the bottom-up paradigm of estimating human poses from
an image. We study the dense keypoint regression framework that is previously inferior to …
an image. We study the dense keypoint regression framework that is previously inferior to …
Gaitpart: Temporal part-based model for gait recognition
Gait recognition, applied to identify individual walking patterns in a long-distance, is one of
the most promising video-based biometric technologies. At present, most gait recognition …
the most promising video-based biometric technologies. At present, most gait recognition …
Gait recognition in the wild: A benchmark
Gait benchmarks empower the research community to train and evaluate high-performance
gait recognition systems. Even though growing efforts have been devoted to cross-view …
gait recognition systems. Even though growing efforts have been devoted to cross-view …
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 …
Towards a deeper understanding of skeleton-based gait recognition
Gait recognition is a promising biometric with unique properties for identifying individuals
from a long distance by their walking patterns. In recent years, most gait recognition methods …
from a long distance by their walking patterns. In recent years, most gait recognition methods …
Context-sensitive temporal feature learning for gait recognition
Although gait recognition has drawn increasing research attention recently, it remains
challenging to learn discriminative temporal representation since the silhouette differences …
challenging to learn discriminative temporal representation since the silhouette differences …