1 citations · 2 across the 6 of their papers we have counts for
6 papers
Learning to Hear by Seeing: It's Time for Vision Language Models to Understand Artistic Emotion from Sight and Sound
Dengming Zhang, Weitao You, Jingxiong Li +6
Emotion understanding is critical for making Large Language Models (LLMs) more general, reliable, and aligned with humans. Art conveys emotion through the joint design of visual an…
Controllable Video-to-Music Generation with Multiple Time-Varying Conditions
Junxian Wu, Weitao You, Heda Zuo +3
Music enhances video narratives and emotions, driving demand for automatic video-to-music (V2M) generation. However, existing V2M methods relying solely on visual features or suppl…
GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions
Heda Zuo, Weitao You, Junxian Wu +5
Composing music for video is essential yet challenging, leading to a growing interest in automating music generation for video applications. Existing approaches often struggle to a…
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning
Dengming Zhang, Weitao You, Ziheng Liu +2
Dynamic Music Emotion Recognition (DMER) aims to predict the emotion of different moments in music, playing a crucial role in music information retrieval. The existing DMER methods…
Efficient and Scalable Chinese Vector Font Generation via Component Composition
Jinyu Song, Weitao You, Shuhui Shi +3
Chinese vector font generation is challenging due to the complex structure and huge amount of Chinese characters. Recent advances remain limited to generating a small set of charac…
PaRUS: A Virtual Reality Shopping Method Focusing on Context between Products and Real Usage Scenes
Weitao You, Yinyu Lu, Ziqing Zheng +4
The development of AR and VR technologies is enhancing users' online shopping experiences in various ways. However, in existing VR shopping applications, shopping contexts merely r…