Plenary and Keynote Speakers

 

Plenary Speakers


Roland Siegwert (ETH Zurich)

IRAV 2018 Talk Title: 'Autonomous Robots that Walk and Fly'

Bio:
Roland Siegwart (1959) is full Professor of Autonomous Systems at ETH Zurich since July 2006 and Founding Co-Director of the Wyss Zurich. From January 2010 to December 2014 he took office as Vice President Research and Corporate Relations in the Executive Board.
He received his Diploma in Mechanical Engineering in 1983 and his Doctoral Degree in 1989 from ETH Zurich. He spent than one year as postdoctoral fellow at Stanford University. Back in Switzerland, he worked from 1991 to 1996 part time as R&D director at MECOS Traxler AG and as lecturer and deputy head at the Institute of Robotics, ETH Zurich. In 1996 he was appointed as professor for autonomous microsystems and robots at the Ecole Polytechnique Fédérale de Lausanne (EPFL) where he served among others as member of the direction of the School of Engineering (2002-06) and funding chairman of the Space Center EPFL.
Roland Siegwart is a board member of the European Network of Robotics (EURON), and served as Vice President for Technical Activities (2004/05) and is currently Distinguished Lecturer (2006/07) of the IEEE Robotics and Automation Society. Recently he has been appointed as Member of the Swiss Academy of Engineering Sciences and the -Bewilligungsausschuss Exzellenzinitiative- of the Deutsche Forschungsgemeinschaft (DFG).
Roland Siegwart's research interests are in the design and control of systems operating in complex and highly dynamical environments. His major goal is to find new ways to deal with uncertainties and enable the design of highly interactive and adaptive systems. Prominent application examples are personal and service robots, autonomous micro-aircrafts, walking and swimming robots and driver assistant systems.

Jean Ponce (INRIA, France -- Currently at NYU New York)

IRAV 2018 Talk Title: 'Weakly Supervised Structure Discovery in Images and Videos'

Bio:
Jean Ponce is a research director at Inria and a visiting researcher at the NYU Center for Data Science, on leave from Ecole Normale Superieure (ENS) / PSL Research University, where he is a professor, and served as director of the computer science department from 2011 to 2017. Before joining ENS and Inria, Jean Ponce held positions at MIT, Stanford, and the University of Illinois at Urbana-Champaign, where he was a full professor until 2005. Jean Ponce is an IEEE Fellow and a Sr. member of the Institut Universitaire de France. He served as editor-in-chief for the International Journal of Computer Vision from 2003 to 2008, and chaired the IEEE Conference on Computer Vision and Pattern Recognition in 1997 and 2000, and the European Conference on Computer Vision in 2008. Jean Ponce is the recipient of two US patents, an ERC advanced grant, and the 2016 IEEE CVPR Longuet-Higgins prize. He is the author of "Computer Vision: A Modern Approach", a textbook translated in Chinese, Japanese, and Russian.

Keynote Speakers


Wolfram Burgard (University of Freiburg)

IRAV 2018 Talk Title: 'Deep Learning for Robot Navigation and Perception'

Bio:
Wolfram Burgard is a professor for computer science at the University of Freiburg and head of the research lab for Autonomous Intelligent Systems. His areas of interest lie in artificial intelligence and mobile robots. His research mainly focuses on the development of robust and adaptive techniques for state estimation and control. Over the past years his group and he has developed a series of innovative probabilistic techniques for robot navigation and control. They cover different aspects such as localization, map-building, SLAM, path-planning, exploration, and several other aspects. He has published over 250 papers and articles in robotic and artificial intelligence conferences and journals. In 2005, he co-authored two books. Whereas the first one, entitled Principles of Robot Motion - Theory, Algorithms, and Implementations, is about sensor-based planning, stochastic planning, localization, mapping, and motion planning, the second one, entitled Probabilistic Robotics, covers robot perception and control in the face of uncertainty.

Daniel Cremers (TU Munich, Munich, Germany)

IRAV 2018 Talk Title: 'Direct Methods for 3D Reconstruction & Visual SLAM with Applications'

Bio:
Daniel Cremers received Bachelor degrees in Mathematics (1994) and Physics (1994), and a Master's degree in Theoretical Physics (1997) from the University of Heidelberg. In 2002 he obtained a PhD in Computer Science from the University of Mannheim, Germany. Subsequently he spent two years as a postdoctoral researcher at the University of California at Los Angeles (UCLA) and one year as a permanent researcher at Siemens Corporate Research in Princeton, NJ. From 2005 until 2009 he was associate professor at the University of Bonn, Germany. Since 2009 he holds the chair for Computer Vision and Pattern Recognition at the Technical University, Munich. His publications received several awards, including the 'Best Paper of the Year 2003' (Int. Pattern Recognition Society), the 'Olympus Award 2004' (German Soc. for Pattern Recognition) and the '2005 UCLA Chancellor's Award for Postdoctoral Research'. For pioneering research he received a Starting Grant (2009), a Proof of Concept Grant (2014) and a Consolidator Grant (2015) by the European Research Council. Professor Cremers has served as associate editor for several journals including the International Journal of Computer Vision, the IEEE Transactions on Pattern Analysis and Machine Intelligence and the SIAM Journal of Imaging Sciences. He has served as area chair (associate editor) for ICCV, ECCV, CVPR, ACCV, IROS, etc, and as program chair for ACCV 2014. He serves as general chair for the European Conference on Computer Vision 2018 in Munich. In December 2010 he was listed among “Germany's top 40 researchers below 40” (Capital). On March 1st 2016, Prof. Cremers received the Gottfried Wilhelm Leibniz Award, the biggest award in German academia. He is Managing Director of the TUM Department of Informatics. According to Google Scholar, Prof. Cremers has an h-index of 73 and his papers have been cited 20295 times.