Search Results for author:
Found 5 papers, 2 papers with code
BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis
This novel system aims to simulate complex dynamic interactions among multiple agents, as well as between agents and their environments, over a period of time.
On the Equivalency, Substitutability, and Flexibility of Synthetic Data
In addition, our study of the impact of synthetic data distributions on downstream performance reveals the importance of flexible data generators in narrowing domain gaps for improved model adaptability.
The Importance of Multimodal Emotion Conditioning and Affect Consistency for Embodied Conversational Agents
We have conducted a user study with 199 participants to assess how the average person judges the affects perceived from multimodal behaviors that are consistent and inconsistent with respect to a driving affect.
Learning from Synthetic Human Group Activities
The study of complex human interactions and group activities has become a focal point in human-centric computer vision.
Transfer Learning from Monolingual ASR to Transcription-free Cross-lingual Voice Conversion
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.
