About

Currently, I am working in the LRS Group (Learning, Recognition, and Surveillance) at the Institute of Computer Graphics and Vision at Graz University of Technology, Austria.

I am pursuing my PhD in Computer Science under the supervision of Prof. Dr. Horst Bischof, the current rector of Graz University of Technology, and I am proud to work under his guidance.

I received my master’s degree in Mathematics from M.V.Lomonosov Moscow State University (MSU), graduating from the Faculty of Mechanics and Mathematics, which is also the alma mater of such outstanding mathematicians as Kolmogorov, Chebyshev, and many others.

My primary research interests focus on Deep Neural Networks in the field of Computer Vision, particularly for Multiple Object Detection and Tracking, Human Attribute Recognition and Pose Esimation, and Intelligent Video Surveillance Systems.

Publications

Into the Fog: Evaluating Multiple Object Tracking Robustness

N. Kirillova, M. J. Mirza, H. Possegger, H. Bischof

arXiv preprint: 2404.10534, 2023

Paper Cite this paper

BibTeX:

@article{kirillova23a,

title = {{Into the Fog: Evaluating Multiple Object Tracking Robustness}},

author = {Kirillova, Nadezda and Mirza, M. Jehanzeb and Possegger, Horst and Bischof, Horst},

booktitle = {arXiv preprint: 2404.10534},

year = {2023}

}
A Comprehensive Crossroad Camera Dataset to Improve Traffic Safety of Mobility Aid Users

L. Mohr, N. Kirillova, H. Possegger, H. Bischof

In Proc. of the British Machine Vision Conference (BMVC), 2023

Paper Cite this paper

BibTeX:

@inproceedings{mohr23a,

title = {{A Comprehensive Crossroad Camera Dataset to Improve Traffic Safety of Mobility Aid Users}},

author = {Mohr, Ludwig and Kirillova, Nadezda and Possegger, Horst and Bischof, Horst},

booktitle = {In Proc. of the British Machine Vision Conference (BMVC)},

year = {2023}

}

Code
Identifying and Extracting Pedestrian Behavior in Critical Traffic Situations

M. Schachner, B. Schneider, F. Weißenbacher, N. Kirillova, H. Possegger, H. Bischof, C. Klug

In Proc. of the IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023

Paper Cite this paper

BibTeX:

@inproceedings{schachner23b,

title = {{Identifying and Extracting Pedestrian Behavior in Critical Traffic Situations}},

author = {Schachner, Martin and Schneider, Bernd and Wei{\ss}enbacher, Fabian and Kirillova, Nadezda and Possegger, Horst and Bischof, Horst and Klug, Corina},

booktitle = {In Proc. of the IEEE International Conference on Intelligent Transportation Systems (ITSC)},

year = {2023}

}
Observation-based Pedestrian Scenario Extraction for Virtual Testing

M. Schachner, N. Kirillova, F. Weißenbacher, B. Schneider, H. Possegger, H. Bischof, A. Aichberger, Z. F. Magosi, J. Dobberstein, T. Lich, M. Kirchengast, M. Hennecke, C. Klug

In Proc. of the International Technical Conference on the Enhanced Safety of Vehicles (ESV), 2023

Paper Cite this paper

BibTeX:

@inproceedings{schachner23a,

title = {{Observation-based Pedestrian Scenario Extraction for Virtual Testing}},

author = {Schachner, Martin and Kirillova, Nadezda and Wei{\ss}enbacher, Fabian and Schneider, Bernd and Possegger, Horst and Bischof, Horst and Aichberger, Arno and Magosi, Zoltan Ferenc and Dobberstein, Jan and Lich, Thomas and Kirchengast, Martin and Hennecke, Marcus and Klug, Corina},

booktitle = {In Proc. of the International Technical Conference on the Enhanced Safety of Vehicles (ESV)},

year = {2023}

}
A Visual Surveillance System to Observe Realistic Road User Behavior for Improved Pedestrian and Cyclist Safety at Crossroads

N. Kirillova, H. Possegger, H. Bischof

In Proc. of the IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2022

Paper Cite this paper

BibTeX:

@inproceedings{kirillova22a,

title = {{A Visual Surveillance System to Observe Realistic Road User Behavior for Improved Pedestrian and Cyclist Safety at Crossroads}},

author = {Kirillova, Nadezda and Possegger, Horst and Bischof, Horst},

booktitle = {In Proc. of the IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS)},

year = {2022}

}