Invited Speakers

Jan-Michael Frahm (University of North Carolina at Chapel Hill) is a Full Professor at the University of North Carolina at Chapel Hill where he heads the 3D computer vision group. He received his Dr.-Ing. in computer vision in 2005 from the Christian-Albrechts University of Kiel, Germany. His Diploma in Computer Science is from the University of Lübeck. His research interests include a variety of topics on the intersection of computer vision, computer graphics, robotics. He has over 100 peer-reviewed publications, he is editor in chief for the Elsevier Journal on Image and Vision Computing and associate editor for IEEE PAMI.

Bernhard Zeisl (Google) is a Software Engineer at Google Zurich. He is the Tech Lead for the vision based re-localization stack of Google's Visual Positioning Service (VPS). VPS provides high precision pose estimation for consumer devices on a global scale, enabling location aware experiences such as AR walking navigation in Google Maps or large-scale AR. Prior to his contributions to VPS, Bernhard was affiliated with Project Tango which created the foundations for ARCore, Google's on-device VIO and SLAM system.

Before joining Google end of 2015, Bernhard obtained a PhD in Computer Science in the group of Marc Pollefyes at ETH Zurich. He also holds Master degrees in Electrical Engineering and Technology Management.

Srikumar Ramalingam (University of Utah) is an associate professor in the school of computing at the University of Utah since 2017. Before that, he worked as a senior principal research scientist at Mitsubishi Electric Research Lab (MERL) since 2008. He received a Marie Curie VisionTrain scholarship from the European Union to pursue his doctoral studies in computer science and applied mathematics at INRIA Rhone-Alpes (France) under the guidance of Dr. Peter Sturm. His Ph.D. thesis on generic imaging models received INPG best thesis prize and AFRIF Thesis Prize (honorable mention) from the French Association for Pattern Recognition. His other notable awards include R&D 100 and RSS best paper runner-up. His research interests are in computer vision, machine learning, robotics, and autonomous driving.

Niko Sünderhauf (Australian Centre for Robotic Vision, Queensland University of Technology) is a Chief Investigator of the Australian Centre for Robotic Vision, and a Senior Lecturer (roughly equivalent to a tenured Assistant Professor position in the US system) at Queensland University of Technology (QUT) in Brisbane, Australia.

Niko conducts research in robotic vision, at the intersection of robotics, computer vision, and machine learning. His research interests focus on scene understanding, semantic SLAM, and new ways to incorporate semantics into reinforcement learning. He furthermore leads a project on new benchmarking challenges in robotic vision.

Niko regularly organises workshops at robotics and computer vision conferences, such as RSS, CVPR, and ICRA. He is an Associate Editor for the IEEE Robotics and Automation Letters journal (RA-L), and for the IEEE International Conference on Robotics and Automation (ICRA).