3 papers
cs.CV2025
Association and Consolidation: Evolutionary Memory-Enhanced Incremental Multi-View Clustering
Zisen Kong, Bo Zhong, Pengyuan Li +3
Incremental multi-view clustering aims to achieve stable clustering results while addressing the stability-plasticity dilemma (SPD) in view-incremental scenarios. The core challeng…
cs.CV2025
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…
cs.LG2024
One for all: A novel Dual-space Co-training baseline for Large-scale Multi-View Clustering
Zisen Kong, Zhiqiang Fu, Dongxia Chang +2
In this paper, we propose a novel multi-view clustering model, named Dual-space Co-training Large-scale Multi-view Clustering (DSCMC). The main objective of our approach is to enha…