Yahoo Web Search

Search results

  1. www.katrinrenz.deKatrin Renz

    Katrin Renz. katrin.renz@uni-tuebingen.de. Hi! I'm a PhD student in the Autonomous Vision Group (AVG) as part of the International Max Planck Research School for Intelligent Systems (IMPRS-IS), advised by Andreas Geiger.

    • katrin renz - e - real1
    • katrin renz - e - real2
    • katrin renz - e - real3
    • katrin renz - e - real4
    • katrin renz - e - real5
  2. Jul 4, 2023 · Kathrin Renz is Vice President at Amazon Web Services (AWS), having joined the company in July 2020. And, with a stellar career spanning more than 20 years in senior leadership positions across the mobile industry, here’s a deep-dive into how Renz reached the dizzying heights at the top of the mobile game. Career beginnings.

  3. In 2013, Katrin Renz founded tellfilm Deutschland together with Oliver Schütte and Stefan Jäger. Since 2014, she has also been a shareholder and managing director of tellfilm GmbH in Zurich and has since been active as a producer of national and international feature films and documentaries.

  4. Autonomous vehicles (AVs) offer a rich source of high-impact research problems for the machine learning (ML) community; including perception, state estimation, probabilistic modeling, time series forecasting, gesture recognition, robustness guarantees, real-time constraints, user-machine communication, multi-agent planning, and intelligent ...

  5. Articles 1–12. ‪University of Tübingen, Tübingen AI Center & IMPRS-IS‬ - ‪‪Cited by 495‬‬ - ‪Computer Vision‬ - ‪Machine Learning‬.

  6. 2 code implementations • 11 Apr 2024 • Marcel Hallgarten, Julian Zapata, Martin Stoll, Katrin Renz, Andreas Zell We assess existing state-of-the-art planners on our benchmark and show that neither rule-based nor learning-based planners can safely navigate the interPlan scenarios.

  7. Nov 25, 2020 · View a PDF of the paper titled Sign language segmentation with temporal convolutional networks, by Katrin Renz and 3 other authors. The objective of this work is to determine the location of temporal boundaries between signs in continuous sign language videos.

  1. People also search for