16 citations · 33 across the 6 of their papers we have counts for
11 papers
Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
Ozgur Kara, Nikhil Churamani, Hatice Gunes
As affective robots become integral in human life, these agents must be able to fairly evaluate human affective expressions without discriminating against specific demographic grou…
Spatio-Temporal Analysis of Facial Actions using Lifecycle-Aware Capsule Networks
Nikhil Churamani, Sinan Kalkan, Hatice Gunes
Most state-of-the-art approaches for Facial Action Unit (AU) detection rely upon evaluating facial expressions from static frames, encoding a snapshot of heightened facial activity…
The FaceChannel: A Fast & Furious Deep Neural Network for Facial Expression Recognition
Pablo Barros, Nikhil Churamani, Alessandra Sciutti
Current state-of-the-art models for automatic Facial Expression Recognition (FER) are based on very deep neural networks that are effective but rather expensive to train. Given the…
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodriguez +12
In the last few years, we have witnessed a renewed and fast-growing interest in continual learning with deep neural networks with the shared objective of making current AI systems…
Creating a Robot Coach for Mindfulness and Wellbeing: A Longitudinal Study
Indu P. Bodala, Nikhil Churamani, Hatice Gunes
Social robots are starting to become incorporated into daily lives by assisting in the promotion of physical and mental wellbeing. This paper investigates the use of social robots…
Continual Learning for Affective Computing
Nikhil Churamani
Real-world application requires affect perception models to be sensitive to individual differences in expression. As each user is different and expresses differently, these models…