1 citations · 1 across the 3 of their papers we have counts for
3 papers
Beyond the Fold: Quantifying Split-Level Noise and the Case for Leave-One-Dataset-Out AU Evaluation
Saurabh Hinduja, Gurmeet Kaur, Maneesh Bilalpur +2
Subject-exclusive cross-validation is the standard evaluation protocol for facial Action Unit (AU) detection, yet reported improvements are often small. We show that cross-validati…
On the Validity of Head Motion Patterns as Generalisable Depression Biomarkers
Monika Gahalawat, Maneesh Bilalpur, Raul Fernandez Rojas +3
Depression is a debilitating mood disorder negatively impacting millions worldwide. While researchers have explored multiple verbal and non-verbal behavioural cues for automated de…
Learning to Generate Context-Sensitive Backchannel Smiles for Embodied AI Agents with Applications in Mental Health Dialogues
Maneesh Bilalpur, Mert Inan, Dorsa Zeinali +2
Addressing the critical shortage of mental health resources for effective screening, diagnosis, and treatment remains a significant challenge. This scarcity underscores the need fo…