Deep learning has bolstered gaze estimation techniques, but real-world
d...
Identifying logical errors in complex, incomplete or even contradictory ...
Representation learning has significantly driven the field to develop
pr...
Limited availability of labeled physiological data often prohibits the u...
As Graph Neural Networks (GNNs) have been widely used in real-world
appl...
Augmenting LiDAR input with multiple previous frames provides richer sem...
Latest developments in computer hardware, sensor technologies, and artif...
We present a deep learning method for accurately localizing the center o...
For successful deployment of robots in multifaceted situations, an
under...
Contrastively trained encoders have recently been proven to invert the
d...
Explainable AI (XAI) is widely viewed as a sine qua non for ever-expandi...
Proxy-based Deep Metric Learning (DML) learns deep representations by
em...
Interest in understanding and factorizing learned embedding spaces is
gr...
Recent research has supported that system explainability improves user t...
Human drivers use their attentional mechanisms to focus on critical obje...
In human-robot collaboration, one challenging task is to teach a robot n...
This paper describes a feature extraction and gaze estimation software, ...
The way humans attend to, process and classify a given image has the
pot...
During arthroscopic surgeries, surgeons are faced with challenges like
c...
Public speaking and presentation competence plays an essential role in m...
Developments in computer science in recent years are moving into hospita...
We present TEyeD, the world's largest unified public data set of eye ima...
With rapid developments in consumer-level head-mounted displays and comp...
We present a new dataset with annotated eye movements. The dataset consi...
Student engagement is a key construct for learning and teaching. While m...
In this work we inspect different data sources for browser fingerprints....
As interest in autonomous driving increases, efforts are being made to m...
Eye tracking data collection in the virtual reality context is typically...
Simple image rotations significantly reduce the accuracy of deep neural
...
Batch normalization is currently the most widely used variant of interna...
We present a reformulation of the regression and classification, which a...
Modern advanced driver-assistance systems analyze the driving performanc...
Latest research in expertise assessment of soccer players pronounced the...
Numerous car accidents are caused by improper driving maneuvers. Serious...
Pooling operations are a layer found in almost every modern neural netwo...
Modeling eye movement indicative of expertise behavior is decisive in us...
Head mounted displays bring eye tracking into daily use and this raises
...
Understanding students' and teachers' verbal and non-verbal behaviours d...
This paper addresses the problem of understanding joint attention in
thi...
Eye tracking is handled as one of the key technologies for applications ...
We present an alternative layer to convolution layers in convolutional n...
We present a new loss function for the validation of image landmarks det...
Eye movements hold information about human perception, intention, and
co...
The ability for a teacher to engage all students in active learning proc...
Eye movements hold information about human perception, intention and
cog...
Real-time, accurate, and robust pupil detection is an essential prerequi...
Many cameras implement auto-focus functionality. However, they typically...
Real-time, accurate, and robust pupil detection is an essential prerequi...
Real-time, accurate, and robust pupil detection is an essential prerequi...