activity
20242026
collaborators

7 papers

cs.SD2026

MotionBeat: Motion-Aligned Music Representation via Embodied Contrastive Learning and Bar-Equivariant Contact-Aware Encoding

Xuanchen Wang, Heng Wang, Weidong Cai

Music is both an auditory and an embodied phenomenon, closely linked to human motion and naturally expressed through dance. However, most existing audio representations neglect thi…

cs.SD2026

MusicWeaver: Programmable Long-Form Music Generation with Provably Local Editing

Xuanchen Wang, Heng Wang, Weidong Cai

Music generation systems produce increasingly realistic audio, yet they expose no interface between a creator's structural intent and the rendered sound. Form can only be steered t…

cs.GR2025

ChoreoMuse: Robust Music-to-Dance Video Generation with Style Transfer and Beat-Adherent Motion

Xuanchen Wang, Heng Wang, Weidong Cai

Modern artistic productions increasingly demand automated choreography generation that adapts to diverse musical styles and individual dancer characteristics. Existing approaches o…

cs.CV2025

Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Discern Causal Links Across Modalities

Zhiyuan Li, Heng Wang, Dongnan Liu +4

Multimodal Large Language Models (MLLMs) have showcased exceptional Chain-of-Thought (CoT) reasoning ability in complex textual inference tasks including causal reasoning. However,…

eess.IV2025

DINeuro: Distilling Knowledge from 2D Natural Images via Deformable Tubular Transferring Strategy for 3D Neuron Reconstruction

Yik San Cheng, Runkai Zhao, Heng Wang +5

Reconstructing neuron morphology from 3D light microscope imaging data is critical to aid neuroscientists in analyzing brain networks and neuroanatomy. With the boost from deep lea…

cs.CV2024

Dance Any Beat: Blending Beats with Visuals in Dance Video Generation

Xuanchen Wang, Heng Wang, Dongnan Liu +1

Generating dance from music is crucial for advancing automated choreography. Current methods typically produce skeleton keypoint sequences instead of dance videos and lack the capa…