3 citations · 3 across the 8 of their papers we have counts for
6 papers · 1 filter
A Flow Model with Low-Rank Transformers for Incomplete Multimodal Survival Analysis
Yi Yin, Yuntao Shou, Zao Dai +4
In recent years, multimodal medical data-based survival analysis has attracted much attention. However, real-world datasets often suffer from the problem of incomplete modality, wh…
LRA-GNN: Latent Relation-Aware Graph Neural Network with Initial and Dynamic Residual for Facial Age Estimation
Yiping Zhang, Yuntao Shou, Wei Ai +2
Face information is mainly concentrated among facial key points, and frontier research has begun to use graph neural networks to segment faces into patches as nodes to model comple…
GroupFace: Imbalanced Age Estimation Based on Multi-hop Attention Graph Convolutional Network and Group-aware Margin Optimization
Yiping Zhang, Yuntao Shou, Wei Ai +2
With the recent advances in computer vision, age estimation has significantly improved in overall accuracy. However, owing to the most common methods do not take into account the c…
Graph Information Bottleneck for Remote Sensing Segmentation
Yuntao Shou, Wei Ai, Tao Meng +1
Remote sensing segmentation has a wide range of applications in environmental protection, and urban change detection, etc. Despite the success of deep learning-based remote sensing…
CILF-CIAE: CLIP-driven Image-Language Fusion for Correcting Inverse Age Estimation
Yuntao Shou, Wei Ai, Tao Meng +2
The age estimation task aims to predict the age of an individual by analyzing facial features in an image. The development of age estimation can improve the efficiency and accuracy…
A Multi-view Mask Contrastive Learning Graph Convolutional Neural Network for Age Estimation
Yiping Zhang, Yuntao Shou, Tao Meng +2
The age estimation task aims to use facial features to predict the age of people and is widely used in public security, marketing, identification, and other fields. However, the fe…