Emre Aksan

schoolETH Zurichbar_chart#10826 Global Rank
Total Papers
1
HCI Rank
#10826
Research Areas
2
Years Active
1

Personal Information

  • KeywordsMachine LearningComputer VisionHuman-Computer InteractionHuman Activity Sensing and SynthesisGenerative Temporal Models3D Motion ModelingDigital InkHand-Object Interaction
  • OrganizationGoogle
  • EducationETH Zürich
  • Emailaksan@google.com

Social Media & Links

Biography

Emre Aksan is a Research Scientist at Google's AR Perception team in Zurich. He earned his PhD from ETH Zurich in August 2022 under the supervision of Professor Otmar Hilliges. His research focuses on the intersection of machine learning, computer vision, and human-computer interaction, with expertise in utilizing generative temporal models to sense and synthesize human activity. His work spans 3D human motion modeling and prediction, physically plausible hand-object interaction synthesis, and modeling freeform actions such as digital ink. He has published multiple papers in top-tier conferences such as CVPR, ECCV, and NeurIPS, with notable works including D-Grasp and CoSE, aiming to digitize human activities through advanced algorithms.

Work Experience

  • 2022–Present·Google·Research Scientist
    • Conducting research in the AR Perception team, focusing on perception technologies in augmented reality.
  • 2017–2022·ETH Zürich·PhD Researcher
    • Researched at the Advanced Interactive Technologies lab on deep generative temporal models, with applications in 3D motion modeling, avatar creation, and freeform human motion synthesis.

Education

  • ~2017–2022·ETH Zürich·PhD
    • Research focused on deep generative temporal models and their applications in computer vision and human-computer interaction.
  • –2015·Middle East Technical University (METU)·Master's
    • Major: Computer Engineering.
  • –2013·Middle East Technical University (METU)·Bachelor's
    • Major: Computer Engineering.

This biography was generated by AI from publicly available information and may contain delays or inaccuracies.

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