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Publications

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  1. Igor Vozniak; Philipp Müller; Lorena Hell; Nils Lipp; Ahmed Abouelazm; Christian Müller

    Context-empowered Visual Attention Prediction in Pedestrian Scenarios

    In: CVF. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 4-6, Waikoloa, Hawaii, USA, Pages 950-960, IEEE Explore, IEEE …

  2. Iuliia Brishtel; Thomas Schmidt; Igor Vozniak; Jason Raphael Rambach; Bruno Mirbach; Didier Stricker

    To Drive or to Be Driven? The Impact of Autopilot, Navigation System, and Printed Maps on Driver’s Cognitive Workload and Spatial Knowledge

    In: ISPRS International Journal of Geo-Information, Vol. 10, No. 10, Pages 1-19, MDPI, 10/2021.

  3. André Antakl; Igor Vozniak; Nils Lipp; Matthias Klusch; Christian Müller

    HAIL: Modular Agent-Based Pedestrian Imitation Learning

    In: Proceedings of the 19th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS). International Conference on …

  4. Shyam Chanduri; Zeeshan Khan Suri; Igor Vozniak; Christian Müller

    CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters

    In: British Machine Vision Conference. British Machine Vision Conference (BMVC-2021), The British Machine Vision Association and Society for Pattern …

  5. Atanas Poibrenski; Matthias Klusch; Igor Vozniak; Christian Müller

    M2P3: Multimodal Multi-Pedestrian Path Prediction by Self-Driving Cars With Egocentric Vision

    In: Proceedings of 35th ACM Symposium On Applied Computing. ACM Symposium On Applied Computing (SAC-2020), March 30 - April 3, Brno, Czech Republic, …

  6. Igor Vozniak; Matthias Klusch; Andre Antakli; Christian Mueller

    InfoSalGAIL: Visual Attention-Empowered Imitation Learning of Pedestrians in Critical Traffic Scenarios

    In: Proceedings of 12th IEEE International Conference on Neural Computation Theory and Application. IEEE International Conference on Neural …

  7. Atanas Poibrenski; Matthias Klusch; Igor Vozniak; Christian Müller

    Multimodal Multi-Pedestrian Path Prediction for Autonomous Cars

    In: Applied Computing Review (JACR), Vol. 20, No. 4, ACM, 2020.