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07/27/2022
On the robustness of self-supervised representations for multi-view object classification
It is known that representations from self-supervised pre-training can p...
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05/12/2022
Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning
In this work, we investigate the properties of data that cause popular r...
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02/27/2022
Data Overlap: A Prerequisite For Disentanglement
Learning disentangled representations with variational autoencoders (VAE...
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11/03/2021
Improving Pose Estimation through Contextual Activity Fusion
This research presents the idea of activity fusion into existing Pose Es...
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10/22/2021
Generative Adversarial Networks for Non-Raytraced Global Illumination on Older GPU Hardware
We give an overview of the different rendering methods and we demonstrat...
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06/14/2021
Automated Parking Space Detection Using Convolutional Neural Networks
Finding a parking space nowadays becomes an issue that is not to be negl...
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05/28/2021
Confident in the Crowd: Bayesian Inference to Improve Data Labelling in Crowdsourcing
With the increased interest in machine learning and big data problems, t...
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05/28/2021
The Wits Intelligent Teaching System: Detecting Student Engagement During Lectures Using Convolutional Neural Networks
To perform contingent teaching and be responsive to students' needs duri...
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01/12/2021
Explicit homography estimation improves contrastive self-supervised learning
The typical contrastive self-supervised algorithm uses a similarity meas...
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01/14/2020
