1 citations · 2 across the 5 of their papers we have counts for
5 papers
Communication-Efficient Personalized Federal Graph Learning via Low-Rank Decomposition
Ruyue Liu, Rong Yin, Xiangzhen Bo +5
Federated graph learning (FGL) has gained significant attention for enabling heterogeneous clients to process their private graph data locally while interacting with a centralized…
ESC-MISR: Enhancing Spatial Correlations for Multi-Image Super-Resolution in Remote Sensing
Zhihui Zhang, Jinhui Pang, Jianan Li +1
Multi-Image Super-Resolution (MISR) is a crucial yet challenging research task in the remote sensing community. In this paper, we address the challenging task of Multi-Image Super-…
DWCL: Dual-Weighted Contrastive Learning for Multi-View Clustering
Hanning Yuan, Zhihui Zhang, Qi Guo +4
Multi-view contrastive clustering (MVCC) has gained significant attention for generating consistent clustering structures from multiple views through contrastive learning. However,…
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation
Xiaoshuai Hao, Ruikai Li, Hui Zhang +7
Online high-definition (HD) map construction is an important and challenging task in autonomous driving. Recently, there has been a growing interest in cost-effective multi-view ca…
DOR3D-Net: Dense Ordinal Regression Network for 3D Hand Pose Estimation
Yamin Mao, Zhihua Liu, Weiming Li +3
Depth-based 3D hand pose estimation is an important but challenging research task in human-machine interaction community. Recently, dense regression methods have attracted increasi…