14 citations · 19 across the 6 of their papers we have counts for
6 papers
CASIM: Composite Aware Semantic Injection for Text to Motion Generation
Che-Jui Chang, Qingze Tony Liu, Honglu Zhou +2
Recent advances in generative modeling and tokenization have driven significant progress in text-to-motion generation, leading to enhanced quality and realism in generated motions.…
From Words to Worlds: Transforming One-line Prompt into Immersive Multi-modal Digital Stories with Communicative LLM Agent
Samuel S. Sohn, Danrui Li, Sen Zhang +2
Digital storytelling, essential in entertainment, education, and marketing, faces challenges in production scalability and flexibility. The StoryAgent framework, introduced in this…
On the Equivalency, Substitutability, and Flexibility of Synthetic Data
Che-Jui Chang, Danrui Li, Seonghyeon Moon +1
We study, from an empirical standpoint, the efficacy of synthetic data in real-world scenarios. Leveraging synthetic data for training perception models has become a key strategy e…
The Importance of Multimodal Emotion Conditioning and Affect Consistency for Embodied Conversational Agents
Che-Jui Chang, Samuel S. Sohn, Sen Zhang +3
Previous studies regarding the perception of emotions for embodied virtual agents have shown the effectiveness of using virtual characters in conveying emotions through interaction…
M3Act: Learning from Synthetic Human Group Activities
Che-Jui Chang, Danrui Li, Deep Patel +7
The study of complex human interactions and group activities has become a focal point in human-centric computer vision. However, progress in related tasks is often hindered by the…
Transfer Learning from Monolingual ASR to Transcription-free Cross-lingual Voice Conversion
Che-Jui Chang
Cross-lingual voice conversion (VC) is a task that aims to synthesize target voices with the same content while source and target speakers speak in different languages. Its challen…