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Vision-based Drone Flocking in Outdoor Environments
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EPFL2023Vision-based Flocking in Aerial Robot Swarms
Aerial robot swarms have the potential to perform time-critical and dangerous tasks such as disaster response without compromising human safety. However, their reliance on external infrastructure such as global positioning for localization and wireless net ...
EPFL2022Improving the Training of Compact Neural Networks for Visual Recognition
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EPFL2022Essays in Empirical Asset Pricing
This thesis consists of three applications of machine learning techniques to empirical asset pricing.In the first part, which is co-authored work with Oksana Bashchenko, we develop a new method that detects jumps nonparametrically in financial time series ...
EPFL2022On the Scalability of Vision-based Drone Swarms in the Presence of Occlusions
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Vision-based drone swarms have recently emerged as a promising alternative to address the fault-tolerance and flexibility limitations of centralized and communication-based aerial collective systems. Although most vision-based control algorithms rely on th ...
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Convolutional neural networks (CNNs) have been demonstrated to be highly effective in the field of pulmonary nodule detection. However, existing CNN based pulmonary nodule detection methods lack the ability to capture long-range dependencies, which is vita ...
SPRINGER INTERNATIONAL PUBLISHING AG2022