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08/25/2022
Domain-informed graph neural networks: a quantum chemistry case study
We explore different strategies to integrate prior domain knowledge into...
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07/17/2022
Detecting Humans in RGB-D Data with CNNs
We address the problem of people detection in RGB-D data where we levera...
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04/12/2022
A DNN Framework for Learning Lagrangian Drift With Uncertainty
Reconstructions of Lagrangian drift, for example for objects lost at sea...
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01/22/2021
Adaptive Neighbourhoods for the Discovery of Adversarial Examples
Deep Neural Networks (DNNs) have often supplied state-of-the-art results...
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11/23/2020
Learnable Gabor modulated complex-valued networks for orientation robustness
Robustness to transformation is desirable in many computer vision tasks,...
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08/11/2020
VI-Net: View-Invariant Quality of Human Movement Assessment
We propose a view-invariant method towards the assessment of the quality...
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03/15/2018
Challenges in Annotation of useR Data for UbiquitOUs Systems: Results from the 1st ARDUOUS Workshop
Labelling user data is a central part of the design and evaluation of pe...
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07/27/2016
Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home
We present a new framework for vision-based estimation of calorific expe...
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06/14/2016