Search Results for author:
Found 4 papers, 1 papers with code
Towards In-Vehicle Multi-Task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Models
In the burgeoning field of intelligent transportation systems, enhancing vehicle-driver interaction through facial attribute recognition, such as facial expression, eye gaze, age, etc., is of paramount importance for safety, personalization, and overall user experience.
One Agent Too Many: User Perspectives on Approaches to Multi-agent Conversational AI
Conversational agents have been gaining increasing popularity in recent years.
One Agent To Rule Them All: Towards Multi-agent Conversational AI
To address these problems, we introduce a new task BBAI: Black-Box Agent Integration, focusing on combining the capabilities of multiple black-box CAs at scale.
Ranked #1 on
Multi-agent Integration
on BBAI Dataset
Conversational Response Selection
Multi-agent Integration
+1
Predicting Driver Fatigue in Automated Driving with Explainability
Research indicates that monotonous automated driving increases the incidence of fatigued driving.
