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Found 8 papers, 2 papers with code
Greek Sign Language Recognition for the SL-ReDu Learning Platform
There has been increasing interest lately in developing education tools for sign language (SL) learning that enable self-assessment and objective evaluation of learners’ SL productions, assisting both students and their instructors.
Accurate and Resource-Efficient Lipreading with Efficientnetv2 and Transformers
We present a novel resource-efficient end-to-end architecture for lipreading that achieves state-of-the-art results on a popular and challenging benchmark.
Ranked #2 on
Lipreading
on Lip Reading in the Wild
Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss
We present our winning submission to the First International Workshop on Bodily Expressed Emotion Understanding (BEEU) challenge.
ChildBot: Multi-Robot Perception and Interaction with Children
In this paper we present an integrated robotic system capable of participating in and performing a wide range of educational and entertainment tasks, in collaboration with one or more children.
A Deep Learning Approach to Object Affordance Segmentation
In particular, we design an autoencoder that is trained using ground-truth labels of only the last frame of the sequence, and is able to infer pixel-wise affordance labels in both videos and static images.
Fusing Body Posture with Facial Expressions for Joint Recognition of Affect in Child-Robot Interaction
In this paper we address the problem of multi-cue affect recognition in challenging scenarios such as child-robot interaction.
Deep Affordance-grounded Sensorimotor Object Recognition
It is well-established by cognitive neuroscience that human perception of objects constitutes a complex process, where object appearance information is combined with evidence about the so-called object "affordances", namely the types of actions that humans typically perform when interacting with them.
A hierarchical approach with feature selection for emotion recognition from speech
We examine speaker independent emotion classification from speech, reporting experiments on the Berlin database across six basic emotions.
