59 citations · 154 across the 18 of their papers we have counts for
22 papers
Mind the Context: Continual Learning of Socially Appropriate Robot Actions via Environmental-Social Disentanglement
Rafal Robert Karpinski, Fethiye Irmak Dogan, Nikhil Churamani +4
Social robots are expected to operate across diverse environments, where similar arrangements can imply different socially appropriate actions, e.g., starting a conversation may be…
Graph Neural Networks for Surgical Scene Segmentation
Yihan Li, Nikhil Churamani, Maria Robu +2
Purpose: Accurate identification of hepatocystic anatomy is critical to preventing surgical complications during laparoscopic cholecystectomy. Deep learning models often struggle w…
Continual Learning Should Move Beyond Incremental Classification
Rupert Mitchell, Antonio Alliegro, Raffaello Camoriano +17
Continual learning (CL) is the sub-field of machine learning concerned with accumulating knowledge in dynamic environments. So far, CL research has mainly focused on incremental cl…
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
Nikhil Churamani, Saksham Checker, Fethiye Irmak Dogan +2
It is critical for robots to explore Federated Learning (FL) settings where several robots, deployed in parallel, can learn independently while also sharing their learning with eac…
Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments
Saksham Checker, Nikhil Churamani, Hatice Gunes
As social robots become increasingly integrated into daily life, ensuring their behaviours align with social norms is crucial. For their widespread open-world application, it is im…
Continual Facial Expression Recognition: A Benchmark
Nikhil Churamani, Tolga Dimlioglu, German I. Parisi +1
Understanding human affective behaviour, especially in the dynamics of real-world settings, requires Facial Expression Recognition (FER) models to continuously adapt to individual…
Affective Computing for Human-Robot Interaction Research: Four Critical Lessons for the Hitchhiker
Hatice Gunes, Nikhil Churamani
Social Robotics and Human-Robot Interaction (HRI) research relies on different Affective Computing (AC) solutions for sensing, perceiving and understanding human affective behaviou…
Participant Perceptions of a Robotic Coach Conducting Positive Psychology Exercises: A Qualitative Analysis
Minja Axelsson, Nikhil Churamani, Atahan Caldir +1
This paper presents a qualitative analysis of participants' perceptions of a robotic coach conducting Positive Psychology exercises, providing insights for the future design of rob…
Continual Learning for Affective Robotics: A Proof of Concept for Wellbeing
Nikhil Churamani, Minja Axelsson, Atahan Caldir +1
Sustaining real-world human-robot interactions requires robots to be sensitive to human behavioural idiosyncrasies and adapt their perception and behaviour models to cater to these…
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…
Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
Nikhil Churamani, Ozgur Kara, Hatice Gunes
As Facial Expression Recognition (FER) systems become integrated into our daily lives, these systems need to prioritise making fair decisions instead of aiming at higher individual…
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…
Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions
Nikhil Churamani, Pablo Barros, Hatice Gunes +1
Collaborative interactions require social robots to adapt to the dynamics of human affective behaviour. Yet, current approaches for affective behaviour generation in robots focus o…
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…
The FaceChannel: A Light-weight Deep Neural Network for Facial Expression Recognition
Pablo Barros, Nikhil Churamani, Alessandra Sciutti
Current state-of-the-art models for automatic FER are based on very deep neural networks that are difficult to train. This makes it challenging to adapt these models to changing co…
iCub: Learning Emotion Expressions using Human Reward
Nikhil Churamani, Francisco Cruz, Sascha Griffiths +1
The purpose of the present study is to learn emotion expression representations for artificial agents using reward shaping mechanisms. The approach takes inspiration from the TAMER…
The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling
Pablo Barros, Nikhil Churamani, Angelica Lim +1
Processing human affective behavior is important for developing intelligent agents that interact with humans in complex interaction scenarios. A large number of current approaches…
An Affective Robot Companion for Assisting the Elderly in a Cognitive Game Scenario
Nikhil Churamani, Alexander Sutherland, Pablo Barros
Being able to recognize emotions in human users is considered a highly desirable trait in Human-Robot Interaction (HRI) scenarios. However, most contemporary approaches rarely atte…
The OMG-Emotion Behavior Dataset
Pablo Barros, Nikhil Churamani, Egor Lakomkin +3
This paper is the basis paper for the accepted IJCNN challenge One-Minute Gradual-Emotion Recognition (OMG-Emotion) by which we hope to foster long-emotion classification using neu…