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CSCS Speaker Announcement: Prof. Dr. Michael Haller


Prof. Dr. Michael Haller

Prof. Dr. Michael Haller

Title:

Imperceptible Textile Interfaces in automotive use cases

Abstract:

Abstract: The increased interest in interactive soft materials, such as smart clothing and responsive surfaces, means that there is a need for flexible and deformable input devices.

We at the Media Interaction Lab are investigating the implementation and evaluation of next generation interfaces. In this presentation, we show how to implement curved, smart interfaces, ranging from printed film solutions to textile-based interfaces, which are then further used in different automotive use cases. These newly emerging form factors require novel human–computer interaction techniques which will be discussed in this presentation. In this work, we will further describe particular challenges and solutions for the design of flexible input sensors.

Bio:

Michael Haller is a professor at the department of Interactive Media of the University of Applied Sciences Upper Austria (Hagenberg, Austria), where he is founder and director of the Media Interaction Lab (www.mi-lab.org), responsible for computer graphics & human-computer interaction. His core areas of expertise are smart graphics and interaction developing next-generation user interfaces. He received Dipl.-Ing. (1997), Dr. techn. (2001), and Habilitation (2007) degrees from Johannes Kepler University of Linz, Austria. His current focus is on innovative interaction techniques and smart interfaces for next generation working environments. Currently, he leads a team of over 10 researchers and students. He has been awarded the Erwin Schrödinger Fellowship Award, Google Research Award, Europrix Top Talent Award, Best ACM SIGGRAPH Emerging Technologies Award, and Microsoft Imagine Cup. Seven of his papers were awarded best paper or honorable mention at top HCI venues including ACM CHI and ACM UIST.

ACM Chapters Computer Science in Cars Symposium 2017

>> Details about CSCS 2017 here.

CSCS Speaker Announcement: Dr. Alexey Dosovitskiy


Dr. Alexey Dosovitskiy

Dr. Alexey Dosovitskiy (Intel Visual Computing Lab)

 

Title:

Learning sensorimotor control from experience and demonstration

Abstract:

An intelligent agent should be capable of performing useful actions based on sensory observations – a feat known as sensorimotor control. The notion of usefulness depends on a specific situation – for instance, in a driving scenario useful actions would get the vehicle to the destination point as fast as possible without crashing or violating traffic rules. I will talk about two general approaches to learning sensorimotor control – learning from experience and learning from demonstration – and about recent research projects in our lab in both of these directions. In one, we train an agent to navigate in three-dimensional environments based purely on its experience, without any human supervision. In another, we use imitation learning to train an agent to drive in busy urban environments and follow passenger’s commands.

Bio:

Alexey Dosovitskiy received his MSc and PhD degrees in mathematics (functional analysis) from Moscow State University in 2009 and 2012 respectively. He spent 2013-2015 as a postdoctoral researcher at the Computer Vision Group of Prof. Thomas Brox at the University of Freiburg in Germany, with research focus on deep learning, specifically unsupervised learning, image generation with neural networks, motion and 3D structure estimation. Since May 2016 Alexey works on deep learning and sensorimotor control at Intel Visual Computing Lab led by Dr. Vladlen Koltun.

ACM Chapters Computer Science in Cars Symposium 2017

>> Details about CSCS 2017 here.