3 papers
cs.CV2025
PP-Motion: Physical-Perceptual Fidelity Evaluation for Human Motion Generation
Sihan Zhao, Zixuan Wang, Tianyu Luan +5
Human motion generation has found widespread applications in AR/VR, film, sports, and medical rehabilitation, offering a cost-effective alternative to traditional motion capture sy…
cs.CV2024
Efficient Selective Audio Masked Multimodal Bottleneck Transformer for Audio-Video Classification
Wentao Zhu
Audio and video are two most common modalities in the mainstream media platforms, e.g., YouTube. To learn from multimodal videos effectively, in this work, we propose a novel audio…
cs.CV2024
Efficient Multiscale Multimodal Bottleneck Transformer for Audio-Video Classification
Wentao Zhu
In recent years, researchers combine both audio and video signals to deal with challenges where actions are not well represented or captured by visual cues. However, how to effecti…