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Dr.-Ing. Dipl.-Math. Roberto Henschel
Roberto Henschel left the Institut für Informationsverabeitung.
Publications and research activities from the time after the departure are not listed here.

Roberto Henschel studied Mathematics with a minor in Computer Science at the Freie Universität Berlin. He received his Dipl.-Math. degree from the Freie Universität Berlin in March 2012. His diploma thesis "Lattice Theoretic Implications on Chromatic Polynomials and Relations to Geometry" dealt with computing chromatic polynomials by applying Ehrhart theory.

 

In 2012-2013 he had been working at 'Fachbereich Mathematik' at the TU Darmstadt as a research assistant. Since then he has been working as a research assistant toward a PhD degree at the 'Institut für Informationverarbeitung' at the Leibniz University of Hannover. His research interests include multiple people tracking and graph algorithms.

Show selected publications only
  • Andrea Hornakova*, Timo Kaiser*, Michal Rolinek, Bodo Rosenhahn, Paul Swoboda, Roberto Henschel, (* equal contribution)
    Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
    International Conference on Computer Vision (ICCV), IEEE, October 2021
  • Andrea Hornakova*, Timo Kaiser*, Bodo Rosenhahn, Paul Swoboda, Roberto Henschel, (* equal contribution)
    Higher Order Multiple Object Tracking for Crowded Scenes
    Computer Vision and Pattern Recognition Workshops (CVPRW) , June 2021
  • Andrea Hornakova*, Roberto Henschel*, Bodo Rosenhahn, Paul Swoboda, (* equal contribution)
    Lifted Disjoint Paths with Application in Multiple Object Tracking
    Proceedings of the 37th International Conference on Machine Learning (ICML), July 2020
  • Roberto Henschel, Timo von Marcard, Bodo Rosenhahn
    Accurate Long-Term Multiple People Tracking using Video and Body-Worn IMUs
    IEEE Transactions on Image Processing, IEEE, 2020
  • Roberto Henschel, Timo von Marcard, Rosenhahn Bodo
    Simultaneous Identification and Tracking of Multiple People using Video and IMUs
    Computer Vision and Pattern Recognition Workshops (CVPRW), June 2019
  • Roberto Henschel, Yunzhe Zou, Bodo Rosenhahn
    Multiple People Tracking using Body and Joint Detections
    Computer Vision and Pattern Recognition Workshops (CVPRW), June 2019
  • Timo von Marcard, Roberto Henschel, Michael J. Black, Bodo Rosenhahn, Gerard Pons-Moll
    Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera
    European Conference on Computer Vision, September 2018
  • Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn
    Fusion of Head and Full-Body Detectors for Multi-Object Tracking
    Computer Vision and Pattern Recognition Workshops (CVPRW), accepted as spotlight presentation, June 2018
  • Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn
    Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking
    arXiv preprint, May 2017
  • Holger Meuel, Luis Angerstein, Roberto Henschel, Bodo Rosenhahn, Jörn Ostermann
    Moving Object Tracking for Aerial Video Coding using Linear Motion Prediction and Block Matching
    Proceedings of the 32nd Picture Coding Symposium (PCS), pp. 1-5, Nuremberg, Germany, December 2016
  • Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn, Konrad Schindler
    Tracking with multi-level features
    arXiv, July 2016
  • Roberto Henschel, Laura Leal-Taixé, Rosenhahn Bodo
    Solving Multiple People Tracking In A Minimum Cost Arborescence
    IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW), accepted as oral presentation, 1st Workshop on Benchmarking Multi-target Tracking (BMTT), Waikoloa Beach, Hawaii, USA, January 2015
  • Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn
    Efficient Multiple People Tracking Using Minimum Cost Arborescences
    German Conference on Pattern Recognition (GCPR), accepted as oral presentation, Münster, Germany, September 2014
Other activities

Student positions

Student positions (HiWi,bachelor and master’s thesis) are available as part of the project Multiple People Tracking .
If you are interested in any of these position, please do not hesitate to contact me.

Auszeichnungen:

 

Urkunde

Unser Ansatz Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking ist der Gewinner in der CVPR 2017 Challenge, Multiple Object Tracking (MOT17) des 1st Joint BMTT-PETS Workshop on Tracking and Surveillance .

Urkunde

Unser Paper Solving Multiple People Tracking In A Minimum Cost Arborescence erreichte den 2ten Platz in der WACV 2015 Challenge des 1st Workshop on Benchmarking Multi-target Tracking.