15 citations · 23 across the 11 of their papers we have counts for
11 papers
Mood as a Contextual Cue for Improved Emotion Inference
Soujanya Narayana, Ibrahim Radwan, Ramanathan Subramanian +1
Psychological studies observe that emotions are rarely expressed in isolation and are typically influenced by the surrounding context. While recent studies effectively harness uni-…
MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings
Surbhi Madan, Rishabh Jain, Gulshan Sharma +2
Bodily behavioral language is an important social cue, and its automated analysis helps in enhancing the understanding of artificial intelligence systems. Furthermore, behavioral l…
Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning
Ravikiran Parameshwara, Ibrahim Radwan, Akshay Asthana +3
Whilst deep learning techniques have achieved excellent emotion prediction, they still require large amounts of labelled training data, which are (a) onerous and tedious to compile…
A Virtual Reality Game to Improve Physical and Cognitive Acuity
Blooma John, Ramanathan Subramanian, Jayan Chirayath Kurian
We present the Virtual Human Benchmark (VHB) game to evaluate and improve physical and cognitive acuity. VHB simulates in 3D the BATAK lightboard game, which is designed to improve…
Explainable Depression Detection via Head Motion Patterns
Monika Gahalawat, Raul Fernandez Rojas, Tanaya Guha +2
While depression has been studied via multimodal non-verbal behavioural cues, head motion behaviour has not received much attention as a biomarker. This study demonstrates the util…
Focus on Change: Mood Prediction by Learning Emotion Changes via Spatio-Temporal Attention
Soujanya Narayana, Ramanathan Subramanian, Ibrahim Radwan +1
While emotion and mood interchangeably used, they differ in terms of duration, intensity and attributes. Even as multiple psychology studies examine the mood-emotion relationship,…