From the 1 of 6 linked papers with an AI index.
6 papers
InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring
Hao Yang, Yanyan Zhao, Kewei Zhao +11
The paper presents InCarEmo, a multimodal dataset that combines RGB and infrared video, audio, and dialogue text for in-cabin emotion recognition, fatigue detection, and distractio…
DeepSight: Bridging Depth Maps and Language with a Depth-Driven Multimodal Model
Hao Yang, Hongbo Zhang, Yanyan Zhao +1
Multimodal large language models (MLLMs) have achieved impressive performance across various tasks such as image captioning and visual question answer(VQA); however, they often str…
Text-Driven Emotionally Continuous Talking Face Generation
Hao Yang, Yanyan Zhao, Tian Zheng +7
Talking Face Generation (TFG) strives to create realistic and emotionally expressive digital faces. While previous TFG works have mastered the creation of naturalistic facial movem…
CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling
Bichen Wang, Yixin Sun, Junzhe Wang +6
The mismatch between the growing demand for psychological counseling and the limited availability of services has motivated research into the application of Large Language Models (…
Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations
Junzhe Wang, Bichen Wang, Xing Fu +3
In recent years, Large Language Models (LLMs) have made significant progress in automated psychological counseling. However, current research focuses on single-session counseling,…
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits
Bohan Li, Jiannan Guan, Longxu Dou +12
The Myers-Briggs Type Indicator (MBTI) is one of the most influential personality theories reflecting individual differences in thinking, feeling, and behaving. MBTI personality de…