1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
TeMuDance: Contrastive Alignment-Based Textual Control for Music-Driven Dance Generation
Xinran Liu, Diptesh Kanojia, Wenwu Wang +1
Existing music-driven dance generation approaches have achieved strong realism and effective audio-motion alignment. However, they generally lack semantic controllability, making i…
cs.SD2025
DGFM: Full Body Dance Generation Driven by Music Foundation Models
Xinran Liu, Zhenhua Feng, Diptesh Kanojia +1
In music-driven dance motion generation, most existing methods use hand-crafted features and neglect that music foundation models have profoundly impacted cross-modal content gener…
cs.CV2024★ 1 cited
Interpretable Long-term Action Quality Assessment
Xu Dong, Xinran Liu, Wanqing Li +2
Long-term Action Quality Assessment (AQA) evaluates the execution of activities in videos. However, the length presents challenges in fine-grained interpretability, with current AQ…