104 citations · 185 across the 8 of their papers we have counts for
4 papers · 1 filter
Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection
Linhua Kong, Dongxia Chang, Lian Liu +3
Recently, 3D object detection algorithms based on radar and camera fusion have shown excellent performance, setting the stage for their application in autonomous driving perception…
Cross-view Graph Contrastive Representation Learning on Partially Aligned Multi-view Data
Yiming Wang, Dongxia Chang, Zhiqiang Fu +2
Multi-view representation learning has developed rapidly over the past decades and has been applied in many fields. However, most previous works assumed that each view is complete…
ACTIVE:Augmentation-Free Graph Contrastive Learning for Partial Multi-View Clustering
Yiming Wang, Dongxia Chang, Zhiqiang Fu +2
In this paper, we propose an augmentation-free graph contrastive learning framework, namely ACTIVE, to solve the problem of partial multi-view clustering. Notably, we suppose that…
Consistent Multiple Graph Embedding for Multi-View Clustering
Yiming Wang, Dongxia Chang, Zhiqiang Fu +1
Graph-based multi-view clustering aiming to obtain a partition of data across multiple views, has received considerable attention in recent years. Although great efforts have been…