69 citations · 126 across the 5 of their papers we have counts for
5 papers
Multi-Modal Cross-Domain Alignment Network for Video Moment Retrieval
Xiang Fang, Daizong Liu, Pan Zhou +1
As an increasingly popular task in multimedia information retrieval, video moment retrieval (VMR) aims to localize the target moment from an untrimmed video according to a given la…
V3H: View Variation and View Heredity for Incomplete Multi-view Clustering
Xiang Fang, Yuchong Hu, Pan Zhou +1
Real data often appear in the form of multiple incomplete views. Incomplete multi-view clustering is an effective method to integrate these incomplete views. Previous methods only…
Double Self-weighted Multi-view Clustering via Adaptive View Fusion
Xiang Fang, Yuchong Hu
Multi-view clustering has been applied in many real-world applications where original data often contain noises. Some graph-based multi-view clustering methods have been proposed t…
ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering
Xiang Fang, Yuchong Hu, Pan Zhou +1
Multi-view clustering has wide applications in many image processing scenarios. In these scenarios, original image data often contain missing instances and noises, which is ignored…
Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat
Xiang Fang, Yuchong Hu, Pan Zhou +1
Incomplete multi-view clustering is an important technique to deal with real-world incomplete multi-view data. Previous works assume that all views have the same incompleteness, i.…