Simon Doll

PhD Student | Machine Learning | Vision, Sensor Fusion and Robotics

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Hey there! I am Simon, a PhD student with the Scene Understanding Group at Mercedes-Benz R&D, as well as the University of Tübingen where I am advised by Prof. Hendrik P.A. Lensch.

My research interests lie in machine learning, especially at the intersection between computer vision and robotics. In particular, I am interested in incorporating physical knowledge to learned representations as well as finding robust and scalable representations for multi-modal perception.

Additionally, I founded a startup with my twin brother in healthcare where we focused on machine learning methods for vision centric applications in dermatology.

Besides research I am a passionate musician, love surfing and I am always in for a good cup of Coffee, Espresso - or anything else with caffeine.

selected publications

  1. dualad_teaser.webp
    DualAD: Disentangling the Dynamic and Static World for End-to-End Driving
    Simon Doll, Niklas Hanselmann, Lukas Schneider, and 4 more authors
    2024
  2. star_track_teaser.png
    S.T.A.R.-Track - Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations
    Simon Doll, Niklas Hanselmann, Lukas Schneider, and 3 more authors
    2023
  3. spatial_detr_teaser.png
    SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection From Multi-view Camera Images With Global Cross-Sensor Attention
    Simon Doll, Richard Schulz, Lukas Schneider, and 3 more authors
    In Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXXIX, 2022