5 papers
GAViD: A Large-Scale Multimodal Dataset for Context-Aware Group Affect Recognition from Videos
Deepak Kumar, Abhishek Pratap Singh, Puneet Kumar +2
Understanding affective dynamics in real-world social systems is fundamental to modeling and analyzing human-human interactions in complex environments. Group affect emerges from i…
Machine Learning-Based Classification of Jhana Advanced Concentrative Absorption Meditation (ACAM-J) using 7T fMRI
Puneet Kumar, Winson F. Z. Yang, Alakhsimar Singh +2
Jhana advanced concentration absorption meditation (ACAM-J) is related to profound changes in consciousness and cognitive processing, making the study of their neural correlates vi…
Vision Large Language Models Are Good Noise Handlers in Engagement Analysis
Alexander Vedernikov, Puneet Kumar, Haoyu Chen +2
Engagement recognition in video datasets, unlike traditional image classification tasks, is particularly challenged by subjective labels and noise limiting model performance. To ov…
AffectGPT-R1: Leveraging Reinforcement Learning for Open-Vocabulary Multimodal Emotion Recognition
Zheng Lian, Fan Zhang, Yazhou Zhang +5
Open-Vocabulary Multimodal Emotion Recognition (OV-MER) aims to predict emotions without being constrained by label spaces, enabling fine-grained emotion understanding. Unlike trad…
VisioPhysioENet: Visual Physiological Engagement Detection Network
Alakhsimar Singh, Kanav Goyal, Nischay Verma +3
This paper presents VisioPhysioENet, a novel multimodal system that leverages visual and physiological signals to detect learner engagement. It employs a two-level approach for ext…