Graph neural networks in vision-language image understanding: a survey
Abstract 2D image understanding is a complex problem within computer vision, but it holds
the key to providing human-level scene comprehension. It goes further than identifying the …
the key to providing human-level scene comprehension. It goes further than identifying the …
PedAST-GCN: Fast pedestrian crossing intention prediction using spatial–temporal attention graph convolution networks
Accurately and timely predicting pedestrian crossing intentions in real-time is critical for
operating intelligent vehicles on roads. Although existing models achieve promising …
operating intelligent vehicles on roads. Although existing models achieve promising …
[HTML][HTML] GaitGCN++: Improving GCN-based gait recognition with part-wise attention and DropGraph
Gait recognition is becoming one of the promising methods for biometric authentication
owing to its self-effacing nature. Contemporary approaches of joint position-based gait …
owing to its self-effacing nature. Contemporary approaches of joint position-based gait …
Human gait recognition by using two stream neural network along with spatial and temporal features
ABSTRACT Human Gait Recognition (HGR) is referred to as a biometric tactic that is broadly
used for the recognition of an individual by using the pattern of walking. There are some key …
used for the recognition of an individual by using the pattern of walking. There are some key …
Multi-stream part-fused graph convolutional networks for skeleton-based gait recognition
L Wang, J Chen, Z Chen, Y Liu, H Yang - Connection Science, 2022 - Taylor & Francis
Gait recognition, a task of identifying people through their walking pattern, has attracted
more and more researchers' attention. At present, most skeleton-based gait recognition …
more and more researchers' attention. At present, most skeleton-based gait recognition …
SA-BiGCN: Bi-stream graph convolution networks with spatial attentions for the eye contact detection in the wild
Eye contact is essential in transmitting information and intention in the wild environment (eg,
urban streets or parking lots) with mixed vehicles and pedestrians. Compared with the vision …
urban streets or parking lots) with mixed vehicles and pedestrians. Compared with the vision …
Person recognition based on deep gait: A survey
Gait recognition, also known as walking pattern recognition, has expressed deep interest in
the computer vision and biometrics community due to its potential to identify individuals from …
the computer vision and biometrics community due to its potential to identify individuals from …
Stacked-gait: A human gait recognition scheme based on stacked autoencoders
Human gait recognition (HGR) is the mechanism of biometrics that authors extensively
employ to recognize an individuals based on their walking traits. HGR has been prominent …
employ to recognize an individuals based on their walking traits. HGR has been prominent …
GaitRA: triple-branch multimodal gait recognition with larger effective receptive fields and mixed attention
L Xue, Z Tao - Multimedia Tools and Applications, 2024 - Springer
Gait Recognition, as a long-distance biometric technique for identity recognition, has
attracted widespread attention in recent years. Previous academia typically employs minor …
attracted widespread attention in recent years. Previous academia typically employs minor …
Open-set Speaker Recognition with Bounded Laguerre Voronoi Clustering
AQ Ohi - 2024 - prism.ucalgary.ca
Speaker recognition is a challenging problem in behavioral biometrics. It has been
rigorously investigated over the last decade. Although numerous supervised closed-set …
rigorously investigated over the last decade. Although numerous supervised closed-set …