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Publikationen

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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 Xplore, 1/2023.

  2. 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 Practical Applications of Intelligent Agents and Multiagents (PAAMS-2021), October 6-8, Salamanca/Hybrid, Spain, Springer, 2021.

  3. 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 Recognition, November 22-25, Online, The British Machine Vision Association, 2021.

  4. 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, ACM Press, 2020.

  5. 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 Computation Theory and Application (NCTA-2020), located at 12th International Joint Conference on Computational Intelligence (IJCCI), IEEE, 2020.