PeopleofSuperintelligence

Researcher

Laura Leal-Taixé

Also known as Laura Leal-Taixe

Laura Leal-Taixé is a computer vision researcher who studies how machines track several moving objects in video. She studied telecommunications engineering in Barcelona and worked toward a PhD at Leibniz University of Hannover from 2009 until 2013. In 2015 she co-authored MOTChallenge 2015, a paper on a new benchmark for multiple object tracking, and in November 2017 she received the Sofja Kovalevskaja Award of 1.65 million euros. A 2026 paper she co-authored, Motion Attribution for Video Generation, received an ICML Outstanding Paper Honorable Mention. As of October 2026, she is a senior research manager at NVIDIA and an adjunct professor at TUM, where she leads the Dynamic Vision and Learning group.

Timeline

  1. 2009–2013

    A PhD in Hannover

    She studies telecommunications engineering at UPC in her native Barcelona, then works toward a PhD at Leibniz University of Hannover from 2009 until 2013.

  2. 2015

    MOTChallenge, a tracking benchmark

    In 2015 she co-authors MOTChallenge 2015, a paper on a new benchmark for multiple object tracking.

  3. 2016

    A senior postdoc in Munich

    In May 2016 she moves to Munich, where she starts work in the Computer Vision Group as a senior postdoctoral researcher.

  4. November 2017

    The Sofja Kovalevskaja Award

    In November 2017 she receives the Sofja Kovalevskaja Award of 1.65 million euros for her socialMaps project.

  5. 2018–2022

    Tenure-track professor at TUM

    From 2018 until 2022 she holds a tenure-track professorship at TUM.

  6. 2021

    An ERC Starting Grant

    In 2021 she receives an ERC Starting Grant for the DynAI project at TUM.

  7. 2026

    An ICML honorable mention

    In 2026 ICML gives Motion Attribution for Video Generation, a paper she co-authors, an Outstanding Paper Honorable Mention.

  8. As of October 2026

    Senior research manager at NVIDIA

    She is a senior research manager at NVIDIA and an adjunct professor at TUM, where she leads the Dynamic Vision and Learning group.

Sources and credits

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  1. Leal-Taixé, Laura - Institute for Advanced Study (IAS) ias.tum.de. Checked 15 October 2026.
  2. Dynamic Vision and Learning: Lealtaixe dvl.in.tum.de. Checked 15 October 2026.
  3. [1504.01942] MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking arxiv.org. Checked 15 October 2026.
  4. Computer Vision Group - Awards cvg.cit.tum.de. Checked 15 October 2026.
  5. ERC Grants - TUM ForTe - Forschungsförderung & Technologietransfer forte.tum.de. Checked 15 October 2026.
  6. ICML 2026 Awards icml.cc. Checked 15 October 2026.
  7. Motion Attribution for Video Generation | Research research.nvidia.com. Checked 15 October 2026.