Visualization & HCI

M. Sc. Viktor Leonhardt
Ph.D. student
Office 36-230
Email v_leonhard09@cs.uni-kl.de
Viktor Leonhardt
Publications
2022
  1. P. Rüdiger, F. Claus, V. Leonhardt, H. Hagen, J. C. Aurich, and C. Garth. PREVIS - A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control. CoRR, vol. abs/2201.10257, 2022. arXiv:2201.10257
    @article{DBLP:journals/corr/abs-2201-10257,
      author = {R{\"{u}}diger, Patrick and Claus, Felix and Leonhardt, Viktor and Hagen, Hans and Aurich, Jan C. and Garth, Christoph},
      title = {{PREVIS} - {A} Combined Machine Learning and Visual Interpolation
                     Approach for Interactive Reverse Engineering in Assembly Quality Control},
      journal = {CoRR},
      volume = {abs/2201.10257},
      year = {2022},
      url = {https://arxiv.org/abs/2201.10257},
      eprinttype = {arXiv},
      eprint = {2201.10257},
      timestamp = {Tue, 01 Feb 2022 14:59:01 +0100},
      biburl = {https://dblp.org/rec/journals/corr/abs-2201-10257.bib},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }
    
  2. M. Aehle et al. Derivatives in Proton CT. CoRR, vol. abs/2202.05551, 2022. arXiv:2202.05551
    @article{DBLP:journals/corr/abs-2202-05551,
      author = {Aehle, Max and Alme, Johan and Barnaf{\"{o}}ldi, Gergely G{\'{a}}bor and Bl{\"{u}}hdorn, Johannes and Bodova, Tea and Borshchov, Vyacheslav and van den Brink, Anthony and Chaar, Mamdouh and Eikeland, Viljar and Feofilov, Gregory and Garth, Christoph and Gauger, Nicolas R. and Genov, Georgi and Gr{\o}ttvik, Ola and Helstrup, H{\aa}vard and Igolkin, Sergey and Keidel, Ralf and Kobdaj, Chinorat and Kortus, Tobias and Leonhardt, Viktor and Mehendale, Shruti and Mulawade, Raju Ningappa and Odland, Odd Harald and O'Neill, George and Papp, G{\'{a}}bor and Peitzmann, Thomas and Pettersen, Helge Egil Seime and Piersimoni, Pierluigi and Pochampalli, Rohit and Protsenko, Maksym and Rauch, Max and Rehman, Attiq Ur and Richter, Matthias and R{\"{o}}hrich, Dieter and Sagebaum, Max and Santana, Joshua and Schilling, Alexander and Seco, Joao and Songmoolnak, Arnon and S{\o}lie, Jarle Rambo and Tambave, Ganesh and Tymchuk, Ihor and Ullaland, Kjetil and Varga{-}Kofarago, Monika and Volz, Lennart and Wagner, Boris and Wendzel, Steffen and Wiebel, Alexander and Xiao, RenZheng and Yang, Shiming and Yokoyama, Hiroki and Zillien, Sebastian},
      title = {Derivatives in Proton {CT}},
      journal = {CoRR},
      volume = {abs/2202.05551},
      year = {2022},
      url = {https://arxiv.org/abs/2202.05551},
      eprinttype = {arXiv},
      eprint = {2202.05551},
      timestamp = {Tue, 01 Mar 2022 14:36:22 +0100},
      biburl = {https://dblp.org/rec/journals/corr/abs-2202-05551.bib},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }
    
  3. V. Leonhardt, F. Claus, and C. Garth. PEN: Process Estimator neural Network for root cause analysis using graph convolution. Journal of Manufacturing Systems, vol. 62, pp. 886–902, 2022. 10.1016/j.jmsy.2021.11.008
    @article{LEONHARDT2022886,
      title = {PEN: Process Estimator neural Network for root cause analysis using graph convolution},
      journal = {Journal of Manufacturing Systems},
      volume = {62},
      pages = {886-902},
      year = {2022},
      issn = {0278-6125},
      doi = {10.1016/j.jmsy.2021.11.008},
      url = {https://www.sciencedirect.com/science/article/pii/S0278612521002363},
      author = {Leonhardt, Viktor and Claus, Felix and Garth, Christoph}
    }
    
2021
  1. H. E. S. Pettersen et al. Investigating particle track topology for range telescopes in particle radiography using convolutional neural networks. Acta Oncologica, 2021. 10.1080/0284186X.2021.1949037
    @article{paa+21,
      author = {Pettersen, Helge Egil Seime and Aehle, Max and Alme, Johan and Barnaf{\"{o}}ldi, Gergely G{\'{a}}bor and Borshchov, Vyacheslav and van den Brink, Anthony and Chaar, Mamdouh and Eikeland, Viljar and Feofilov, Grigory and Garth, Christoph and Gauger, Nicolas R. and Genov, Georgi and Gr{\o}ttvik, Ola and Helstrup, H{\aa}vard and Igolkin, Sergey and Keidel, Ralf and Kobdaj, Chinorat and Kortus, Tobias and Leonhardt, Viktor and Mehendale, Shruti and Mulawade, Raju Ningappa and Odland, Odd Harald and Papp, G{\'{a}}bor and Peitzmann, Thomas and Piersimoni, Pierluigi and Protsenko, Maksym and Rehman, Attiq Ur and Richter, Matthias and Santana, Joshua and Schilling, Alexander and Seco, Joao and Songmoolnak, Arnon and S{\o}lie, Jarle Rambo and Tambave, Ganesh and Tymchuk, Ihor and Ullaland, Kjetil and Varga-Kofarago, Monika and Volz, Lennart and Wagner, Boris and Wendzel, Steffen and Wiebel, Alexander and Xiao, RenZheng and Yang, Shiming and Yokoyama, Hiroki and Zillien, Sebastian and R{\"{o}}hrich, Dieter},
      title = {Investigating particle track topology for range telescopes in particle radiography using convolutional neural networks},
      journal = {Acta Oncologica},
      year = {2021},
      publisher = {Taylor & Francis},
      doi = {10.1080/0284186X.2021.1949037}
    }
    
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