Researcher

Siyu Tang

Siyu Tang is a computer vision researcher whose work helps machines perceive and model people. Her research included crowded-scene tracking and human pose, shape and motion, including the EgoBody dataset built from first-person views. She studied computer science at Zhejiang University, earned a media-informatics master’s at RWTH Aachen and a PhD at the Max Planck Institute for Informatics, then started a research group at the Max Planck Institute for Intelligent Systems before joining ETH Zurich in 2020. At ETH, she leads the Computer Vision and Learning Group and received a 2025 ERC Starting Grant for research on computer vision models of human movement and activity in three dimensions. As of October 2026, she is an associate professor of computer science at ETH Zurich.

Timeline

  1. 2012

    A BMVC Best Paper Award

    In 2012, her paper “Detection and Tracking of Occluded People,” coauthored with Mykhaylo Andriluka and Bernt Schiele, wins BMVC’s Best Paper award.

  2. By 2017

    From Zhejiang to a PhD

    She earns a bachelor’s degree in computer science at Zhejiang University and spends two years developing software for consumer electronics. She studies for a master’s degree in Europe, earns a master’s in media informatics at RWTH Aachen University, and completes a PhD at the Max Planck Institute for Informatics under Bernt Schiele in 2017.

  3. November 2017

    Starting a Max Planck group

    In November 2017, she receives an early-career research grant to start her research group at the Max Planck Institute for Intelligent Systems. She works there as a postdoctoral researcher under Michael Black.

  4. 2018–2019

    Dissertation and PhD awards

    She receives the DAGM MVTec Dissertation Award in 2018. In 2019, she wins the ELLIS Ph.D. Award for work detecting and tracking people in crowded scenes with Minimum Cost Multicut models.

  5. January 2020

    Joining ETH Zurich

    In January 2020, she joins ETH Zurich’s Department of Computer Science as a Tenure Track Assistant Professor of Computer Vision.

  6. 2021

    EgoBody from first-person views

    In 2021, she coauthors EgoBody, a large-scale dataset for estimating human pose, shape and motion from egocentric views during interactions in complex 3D scenes.

  7. 2025

    An ERC Starting Grant

    In 2025, she receives an ERC Starting Grant for research on computer vision models that help machines perceive and understand human movements and activities in three dimensions.

  8. As of October 2026

    Associate professor at ETH

    As of October 2026, she is an associate professor in ETH Zurich’s Department of Computer Science and leads its Computer Vision and Learning Group at the Institute of Visual Computing. Her group studies computational models of human pose, motion and activity from visual input.

Career

  1. Since 2026ETH ZurichAssociate Professor of Computer Science, Computer Vision and Learning Group Leader
  2. From 2017Max Planck Institute for Intelligent SystemsPostdoctoral Researcher, Research Group Leader

Education

  1. 2017Max Planck Institute for InformaticsPhD
  2. Zhejiang UniversityBachelor's degree in computer science
  3. RWTH Aachen UniversityMaster's degree in media informatics

Sources and credits

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  1. BMVC 2012 | British Machine Vision Conference 2012 bmva-archive.org.uk. Checked 26 October 2026.
  2. Breathing life into video pixels ethz.ch. Checked 26 October 2026.
  3. Prof. Dr. Siyu Tang | Computer Vision and Learning Group vlg.ethz.ch. Checked 26 October 2026.
  4. ELLIS Announces First Six Winners of the ELLIS PhD Award ellis.eu. Checked 26 October 2026.
  5. Welcome, Professor Siyu Tang inf.ethz.ch. Checked 26 October 2026.
  6. EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices arxiv.org. Checked 26 October 2026.
  7. ERC Starting Grant for Siyu Tang inf.ethz.ch. Checked 26 October 2026.
  8. Siyu Tang: Course units in Autumn Semester 2026 vorlesungen.ethz.ch. Checked 26 October 2026.