Cengiz Öztireli — accepted AI-conference papers

2023

Statistical shape representations for temporal registration of plant components in 3D

Karoline Heiwolt, Cengiz Öztireli, Grzegorz Cielniak

ICRA 2023poster

Plants are dynamic organisms and understanding temporal variations in vegetation is an essential problem for robots in the wild. However, associating repeated 3D scans of plants across time is challenging. A key step in this process is re-identifying and tracking the same individual plant components…

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2018

Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus Gross

ICLR 2018poster

Understanding the flow of information in Deep Neural Networks (DNNs) is a challenging problem that has gain increasing attention over the last few years. While several methods have been proposed to explain network predictions, there have been only a few attempts to compare them from a theoretical pe…

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