3 citations · 3 across the 1 of their papers we have counts for
5 papers
Recent Advances in Multimodal Affective Computing: An NLP Perspective
Guimin Hu, Weimin Lyu, Chang Sun +5
Multimodal affective computing has gained increasing attention due to its broad applications in understanding human behavior and intentions, particularly in text-centric multimodal…
HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals
Guimin Hu, Daniel Hershcovich, Hasti Seifi
Haptic signals, from smartphone vibrations to virtual reality touch feedback, can effectively convey information and enhance realism, but designing signals that resonate meaningful…
Partitioner Guided Modal Learning Framework
Guimin Hu, Yi Xin, Lijie Hu +2
Multimodal learning benefits from multiple modal information, and each learned modal representations can be divided into uni-modal that can be learned from uni-modal training and p…
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause
Guimin Hu, Zhihong Zhu, Daniel Hershcovich +3
Multimodal emotion recognition in conversation (MERC) and multimodal emotion-cause pair extraction (MECPE) have recently garnered significant attention. Emotions are the expression…
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture
Wenyan Li, Xinyu Zhang, Jiaang Li +9
Food is a rich and varied dimension of cultural heritage, crucial to both individuals and social groups. To bridge the gap in the literature on the often-overlooked regional divers…