Researcher

Christian Leistner

Christian Leistner is a computer-vision researcher whose work spans visual tracking, random-forest learning, and image upscaling. He studied telematics at Graz University of Technology, worked as a research assistant there, and wrote a PhD thesis in the Learning, Recognition & Surveillance group. He held a postdoctoral fellowship at ETH Zurich from 2010 to 2012 and worked in applied research at Microsoft from 2012 to 2016. His 2008 tracking paper received the Koenderink Prize in 2018, and later papers address decision forests and image super-resolution. He has worked in computer vision and machine learning at Amazon Prime Air since April 2016 and has served as managing director of Amazon Development Center Austria GmbH since April 2025.

Now at
Amazon Development Center Austria GmbH and Amazon.com, Inc.
Works
75
Citations
5,163
h-index
26
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 2000–2006

    Studying telematics

    He studies telematics at Graz University of Technology from 2000 to 2006.

  2. 2006–2010

    Research in computer vision

    He works as a research assistant at TU Graz from 2006 to 2010. His 2010 PhD thesis in TU Graz’s Learning, Recognition & Surveillance group is titled “Semi-Supervised Ensemble Methods for Computer Vision.”

  3. 2008

    A semi-supervised tracker

    At ECCV 2008, he coauthors “Semi-Supervised On-line Boosting for Robust Tracking” with Helmut Grabner and Horst Bischof. The paper applies online learning to adapt classifiers for visual tracking.

  4. 2010–2016

    Postdoctoral work and Microsoft

    He is a postdoctoral fellow at ETH Zurich from 2010 to 2012. From 2012 to 2016, he works as a Software Development Engineer and applied researcher at Microsoft; in 2012, he organizes a “Random Forests in Computer Vision” tutorial at DAGM-OAGM in Graz, while affiliated with Microsoft Vexcel Imaging.

  5. 2013–2015

    Decision forests and image upscaling

    At CVPR 2013, he coauthors “Alternating Decision Forests,” a method that formulates random-forest training as global loss minimization. At CVPR 2015, he coauthors “Fast and Accurate Image Upscaling With Super-Resolution Forests” with Samuel Schulter and Horst Bischof; the method reconstructs a high-resolution image from a single low-resolution input.

  6. 2018

    A Koenderink Prize

    In 2018, the Koenderink Prize goes to his paper “Semi-supervised On-Line Boosting for Robust Tracking,” coauthored with Helmut Grabner and Horst Bischof.

  7. Since 2025

    Managing director in Austria

    He becomes managing director of Amazon Development Center Austria GmbH in April 2025. As of October 2026, he is a research scientist at Amazon Prime Air, working in computer vision and machine learning; he begins that role in April 2016.

Career

  1. Since 2025Amazon Development Center Austria GmbHManaging Director
  2. Since 2016Amazon.com, Inc.Research Scientist
  3. 2012–2016MicrosoftSoftware Development Engineer and Applied Researcher
  4. 2010–2012ETH ZurichPostdoctoral Fellow
  5. 2006–2010Graz University of TechnologyResearch Assistant

Education

  1. 2010Graz University of TechnologyPhD
  2. 2006Graz University of TechnologyTelematics

Most-cited works

  1. Semi-supervised On-Line Boosting for Robust Tracking2008 · Lecture notes in computer science · 1,095 citationsWith Horst Bischof
  2. Fast and accurate image upscaling with super-resolution forests2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 635 citationsWith Horst Bischof
  3. On-line Random Forests2009 · 502 citationsWith Horst Bischof
  4. Learning object class detectors from weakly annotated video2012 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 446 citationsWith Cordelia Schmid and Vittorio Ferrari
  5. PROST: Parallel robust online simple tracking2010 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 379 citationsWith Horst Bischof

Sources and credits

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  1. Dr Christian Leistner - Research Scientist - Amazon Prime Air | XING xing.com. Checked 19 October 2026.
  2. ICG - Learning, Recognition & Surveillance tugraz.at. Checked 19 October 2026.
  3. Semi-Supervised On-line Boosting for Robust Tracking - Graz University of Technology graz.elsevierpure.com. Checked 19 October 2026.
  4. DAGM-OAGM 2012: Tutorials conferences.mpi-inf.mpg.de. Checked 19 October 2026.
  5. CVPR 2013 Open Access Repository openaccess.thecvf.com. Checked 19 October 2026.
  6. CVPR 2015 Open Access Repository openaccess.thecvf.com. Checked 19 October 2026.
  7. ECVA | European Computer Vision Association ecva.net. Checked 19 October 2026.
  8. evi.gv.at | Amazon Development Center Austria GmbH 8020 Graz | Firmenbuch evi.gv.at. Checked 19 October 2026.