Keynotes

Marc Pollefeys

Director of Science, Microsoft / ETH Zurich

Bio

Keynote Speaker: Marc Pollefeys is Director of Science leading a team of scientist and engineers to develop advanced perception capabilities for HoloLens. He is also a Professor of Computer Science at ETH Zurich and was elected Fellow of the IEEE in 2012.

He is best known for his work in 3D computer vision, having been the first to develop a software pipeline to automatically turn photographs into 3D models, but also works on robotics, graphics and machine learning problems. Other noteworthy projects he worked on with collaborators at UNC Chapel Hill and ETH Zurich are real-time 3D scanning with mobile devices, a real-time pipeline for 3D reconstruction of cities from vehicle mounted-cameras, camera-based self-driving cars and the first fully autonomous vision-based drone. Most recently his academic research has focused on combining 3D reconstruction with semantic scene understanding. He has published over 250 peer-reviewed publications and holds several patents. His lab at ETH Zurich also developed the PixHawk auto-pilot which can be found in over half a million drones and he has co-founded several computer vision start-ups.

Keynote: 3D Computer Vision and Mixed Reality

Monday, May 1, 9:00 AM

Keynote details

This is a golden age for computer vision. Research breakthroughs are leaving the lab and getting into users’ hands in record time. Computer vision now plays a pivotal role in many advances benefitting society, such as autonomous vehicles, improved biometric security, and medical imaging. But out of all these innovations, one stands out as having the potential to completely upend how we access information and communicate with each other: mixed reality. Spurred by recent developments in SLAM, 3D reconstruction, gesture recognition, scene understanding, and power-efficient embedded computing, we’re already experiencing it in the form of groundbreaking products like Microsoft HoloLens. In this inspiring keynote, Marc will review recent advances in 3D computer vision and mixed reality and give us a preview of what’s to come.

Jitendra Malik

Arthur J. Chick Professor and Chair, Dept. of Electrical Engineering & Computer Science, UC Berkeley

Bio

Keynote Speaker. Over the past 30 years, Prof. Malik's research group has worked on many different topics in computer vision. Several well-known concepts and algorithms arose in this research, such as anisotropic diffusion, normalized cuts, high dynamic range imaging, and shape contexts. Prof. Malik received the Distinguished Researcher in Computer Vision Award from IEEE PAMI-TC and the K.S. Fu Prize from the International Association of Pattern Recognition. He has been elected to the National Academy of Sciences, the National Academy of Engineering and the American Academy of Arts and Sciences. He earned a B.Tech in Electrical Engineering from Indian Institute of Technology, Kanpur in 1980 and a PhD in Computer Science from Stanford University in 1985.

Keynote: Deep Visual Understanding from Deep Learning

Tuesday, May 2, 9:00 AM

Keynote details

Deep learning and neural networks coupled with high-performance computing have led to remarkable advances in computer vision. For example, we now have a good capability to detect and localize people or objects and determine their 3d pose and layout in a scene. But we are still quite short of “visual understanding,” a much larger problem. For example, vision helps guide manipulation and locomotion, and this requires building dynamic models of consequences of various actions. Further, we should not just detect people, objects and actions but also link them together, by what we call “visual semantic role labeling,” essentially identifying subject-verb-object relationships. And finally, we should be able to make predictions – what will happen next in a video stream? In this talk Professor Malik will review progress in deep visual understanding, give an overview of the state of the art, and show a tantalizing glimpse into what the future holds.