Deep person generation: A survey from the perspective of face, pose, and cloth synthesis
Deep person generation has attracted extensive research attention due to its wide
applications in virtual agents, video conferencing, online shopping, and art/movie …
applications in virtual agents, video conferencing, online shopping, and art/movie …
Appearance and Pose-guided Human Generation: A Survey
F Liao, X Zou, W Wong - ACM Computing Surveys, 2024 - dl.acm.org
Appearance and pose-guided human generation is a burgeoning field that has captured
significant attention. This subject's primary objective is to transfer pose information from a …
significant attention. This subject's primary objective is to transfer pose information from a …
Spatial-driven features based on image dependencies for person re-identification
T Si, F He, H Wu, Y Duan - Pattern Recognition, 2022 - Elsevier
Person re-identification (Re-ID) aims to search for the same pedestrian in different cameras,
which is a crucial research direction in pattern recognition. Recent deep learning methods …
which is a crucial research direction in pattern recognition. Recent deep learning methods …
Incorporating logic rules with textual representations for interpretable knowledge graph reasoning
Abstract Reasoning on knowledge graphs (KGs) is significant for downstream applications,
such as question answering and information extraction. On the basis of using factual triples …
such as question answering and information extraction. On the basis of using factual triples …
Semantic driven attention network with attribute learning for unsupervised person re-identification
Unsupervised domain adaptation (UDA) person re-identification (re-ID) aims to transfer
knowledge from a labeled source domain to guide the task proposed on the unlabeled …
knowledge from a labeled source domain to guide the task proposed on the unlabeled …
Generating a novel synthetic dataset for rehabilitation exercises using pose-guided conditioned diffusion models: A quantitative and qualitative evaluation
C Mennella, U Maniscalco, G De Pietro… - Computers in Biology …, 2023 - Elsevier
Abstract Machine learning has emerged as a promising approach to enhance rehabilitation
therapy monitoring and evaluation, providing personalized insights. However, the scarcity of …
therapy monitoring and evaluation, providing personalized insights. However, the scarcity of …
AAGCN: Adjacency-aware graph convolutional network for person re-identification
Person re-identification (ReID) is an important topic of computer vision. Existing works in this
field focus primarily on learning a feature extractor that maps the pedestrian images into a …
field focus primarily on learning a feature extractor that maps the pedestrian images into a …
Semantic map guided identity transfer GAN for person re-identification
T Wu, R Zhu, S Wan - ACM Transactions on Multimedia Computing …, 2024 - dl.acm.org
Generative adversarial networks (GANs)-based person re-identification (re-id) schemes
provide potential ways to augment data in practical applications. However, existing solutions …
provide potential ways to augment data in practical applications. However, existing solutions …
Adaptive multi-scale transductive information propagation for few-shot learning
Few-shot learning aims to learn a classifier with more generalization capability from
extremely limited labeled samples has drawn an increasing amount of attention in many …
extremely limited labeled samples has drawn an increasing amount of attention in many …
LSG-GAN: Latent space guided generative adversarial network for person pose transfer
Y Lu, B Gu, W Ouyang, Z Liu, F Zou, J Hou - Knowledge-Based Systems, 2023 - Elsevier
Person pose transfer is a popular subject in computer vision tasks and is widely used in
image editing, virtual try-on, and game designing. Most of the state-of-the-art models are …
image editing, virtual try-on, and game designing. Most of the state-of-the-art models are …