AIC: Visual Scene Understanding - Recent Progress and Current Trends
Donnerstag, 18.11.2021, 17.00 Uhr
Im November 2021 startet eine neue Veranstaltungsreihe des RWTH KI-Centers: das “Artificial Intelligence Colloquium”, kurz AIC. Hier präsentieren renommierte Wissenschaftler der RWTH und anderer Universitäten hochaktuelle Forschung zu Methoden und Anwendungen der Künstlichen Intelligenz. Prof. Bastian Leibe (RWTH) ist der erste Vortragende der Serie.
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.