E-Colloquium with Prof. Bastian Leibe (RWTH Aachen University) on November 18, 17:00 - 18:00 CET:
Visual Scene Understanding - Recent Progress and Current Trends
Computer Vision has made immense progress over the past decade, driven
in large parts by major advances in (and a better understanding of) deep
learning. In this talk, Prof. Bastian Leibe will illustrate this progress by
presenting examples of state-of-the-art approaches from his research in several
areas of visual scene understanding, including video object segmentation, human
body pose estimation, and 3D semantic scene analysis. For each of those areas,
he will show how deep learning approaches are currently being applied to solve
visual scene understanding tasks and he will give an overview over current
trends and remaining challenges. Finally, he will highlight several real-world
applications that have become possible as a result of those developments.
Bastian Leibe is a full Professor of Computer Science at RWTH Aachen
University, Germany, where he leads the Computer Vision group. He holds an MSc
degree from the Georgia Institute of Technology (1999), a Diploma degree from
the University of Stuttgart (2001), and a PhD from ETH Zurich (2004), all three
in Computer Science. His main research interests are in computer vision and
machine learning for dynamic visual scene understanding, encompassing object
recognition, tracking, segmentation, and 3D reconstruction. He has published
over 150 articles in peer-reviewed journals and conferences. Over the years, he
has received several awards for his research work, including the CVPR Best
Paper Award in 2007, the DAGM Olympus Prize in 2008, and the U.V. Helava Award
in 2012. In 2012, he was awarded a European Research Council (ERC) Starting
Grant, and in 2017 an ERC Consolidator Grant. He has been Program Chair for
ECCV 2016 and Area Chair and program committee member for all major computer
vision conferences.