30 citations · 75 across the 10 of their papers we have counts for
18 papers
Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models
Vineet Garg, Ognjen Rudovic, Pranay Dighe +5
We address the problem of detecting speech directed to a device that does not contain a specific wake-word. Specifically, we focus on audio coming from a touch-based invocation. Mi…
Streaming on-device detection of device directed speech from voice and touch-based invocation
Ognjen Rudovic, Akanksha Bindal, Vineet Garg +3
When interacting with smart devices such as mobile phones or wearables, the user typically invokes a virtual assistant (VA) by saying a keyword or by pressing a button on the devic…
Toward Personalized Affect-Aware Socially Assistive Robot Tutors in Long-Term Interventions for Children with Autism
Zhonghao Shi, Thomas R Groechel, Shomik Jain +3
Affect-aware socially assistive robotics (SAR) has shown great potential for augmenting interventions for children with autism spectrum disorders (ASD). However, current SAR cannot…
Personalized Federated Deep Learning for Pain Estimation From Face Images
Ognjen Rudovic, Nicolas Tobis, Sebastian Kaltwang +4
Standard machine learning approaches require centralizing the users' data in one computer or a shared database, which raises data privacy and confidentiality concerns. Therefore, l…
Fast and Effective Adaptation of Facial Action Unit Detection Deep Model
Mihee Lee, Ognjen Rudovic, Vladimir Pavlovic +1
Detecting facial action units (AU) is one of the fundamental steps in automatic recognition of facial expression of emotions and cognitive states. Though there have been a variety…
Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach
Ognjen Rudovic, Meiru Zhang, Bjorn Schuller +1
Human behavior expression and experience are inherently multi-modal, and characterized by vast individual and contextual heterogeneity. To achieve meaningful human-computer and hum…